Updated repo_tags / repo_tag / closest_github_tag
Browse files- PyTorchConference2025_GithubRepos.json +76 -312
- README.md +1 -4
PyTorchConference2025_GithubRepos.json
CHANGED
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@@ -4,14 +4,14 @@
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"repo_name": "pytorch",
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"repo_description": "Tensors and Dynamic neural networks in Python with strong GPU acceleration",
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"homepage_link": "https://pytorch.org",
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"
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"category": "machine learning framework"
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},
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| 10 |
{
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"github_repo_link": "https://github.com/ggml-org/llama.cpp",
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"repo_name": "llama.cpp",
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"repo_description": "LLM inference in C/C++",
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"
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"category": "inference engine"
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},
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{
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@@ -19,21 +19,21 @@
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"repo_name": "onnx",
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"repo_description": "Open standard for machine learning interoperability",
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"homepage_link": "https://onnx.ai/",
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"
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},
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{
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"github_repo_link": "https://github.com/ray-project/ray",
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"repo_name": "ray",
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"repo_description": "Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.",
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"homepage_link": "https://ray.io",
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"
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},
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{
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"github_repo_link": "https://github.com/vllm-project/vllm",
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"repo_name": "vllm",
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"repo_description": "A high-throughput and memory-efficient inference and serving engine for LLMs",
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"homepage_link": "https://docs.vllm.ai",
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"
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"category": "inference engine"
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},
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{
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@@ -41,7 +41,7 @@
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"repo_name": "ollama",
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"repo_description": "Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.",
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"homepage_link": "https://ollama.com",
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"
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"category": "inference engine"
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},
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{
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@@ -49,7 +49,7 @@
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"repo_name": "sglang",
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"repo_description": "SGLang is a fast serving framework for large language models and vision language models.",
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"homepage_link": "https://docs.sglang.ai/",
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"
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"category": "inference engine"
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},
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{
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@@ -57,14 +57,14 @@
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"repo_name": "modular",
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"repo_description": "The Modular Platform (includes MAX & Mojo)",
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"homepage_link": "https://docs.modular.com/",
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-
"
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},
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{
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"github_repo_link": "https://github.com/pytorch/ao",
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"repo_name": "ao",
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"repo_description": "PyTorch native quantization and sparsity for training and inference",
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"homepage_link": "https://pytorch.org/ao/stable/index.html",
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"
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},
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{
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"github_repo_link": "https://github.com/triton-lang/triton",
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@@ -83,7 +83,7 @@
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"repo_name": "reference-kernels",
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"repo_description": "Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!",
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"homepage_link": "https://gpumode.com",
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"
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"category": "kernels"
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},
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{
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@@ -91,7 +91,7 @@
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"repo_name": "executorch",
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"repo_description": "On-device AI across mobile, embedded and edge for PyTorch",
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"homepage_link": "https://executorch.ai",
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"
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"category": "model compiler"
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},
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{
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@@ -110,7 +110,7 @@
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"repo_name": "ComfyUI",
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"repo_description": "The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.",
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"homepage_link": "https://www.comfy.org/",
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"
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},
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{
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"github_repo_link": "https://github.com/Jeff-LiangF/streamv2v",
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@@ -123,14 +123,14 @@
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"repo_name": "letta",
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"repo_description": "Letta is the platform for building stateful agents: open AI with advanced memory that can learn and self-improve over time.",
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"homepage_link": "https://docs.letta.com/",
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"
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},
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{
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"github_repo_link": "https://github.com/jupyterlab/jupyterlab",
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"repo_name": "jupyterlab",
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"repo_description": "JupyterLab computational environment.",
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"homepage_link": "https://jupyterlab.readthedocs.io/",
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"
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"category": "ui"
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},
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{
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@@ -143,7 +143,7 @@
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"repo_name": "cutlass",
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"repo_description": "CUDA Templates and Python DSLs for High-Performance Linear Algebra",
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"homepage_link": "https://docs.nvidia.com/cutlass/index.html",
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"
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},
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{
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"github_repo_link": "https://github.com/pytorch/helion",
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@@ -156,14 +156,14 @@
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"repo_name": "jax",
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"repo_description": "Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more",
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"homepage_link": "https://docs.jax.dev",
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"
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},
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{
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"github_repo_link": "https://github.com/tensorflow/tensorflow",
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"repo_name": "tensorflow",
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"repo_description": "An Open Source Machine Learning Framework for Everyone",
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"homepage_link": "https://tensorflow.org",
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"
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"category": "machine learning framework"
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},
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{
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@@ -171,21 +171,21 @@
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"repo_name": "DeepSpeed",
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"repo_description": "DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.",
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"homepage_link": "https://www.deepspeed.ai/",
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-
"
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},
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{
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"github_repo_link": "https://github.com/triton-inference-server/server",
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"repo_name": "server",
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"repo_description": "The Triton Inference Server provides an optimized cloud and edge inferencing solution. ",
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"homepage_link": "https://docs.nvidia.com/deeplearning/triton-inference-server/user-guide/docs/index.html",
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"
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},
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{
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"github_repo_link": "https://github.com/ROCm/ROCm",
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"repo_name": "ROCm",
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"repo_description": "AMD ROCm™ Software - GitHub Home",
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"homepage_link": "https://rocm.docs.amd.com",
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"
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},
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{
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"github_repo_link": "https://github.com/llvm/llvm-project",
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"repo_name": "hatchet",
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"repo_description": "Graph-indexed Pandas DataFrames for analyzing hierarchical performance data",
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"homepage_link": "https://llnl-hatchet.readthedocs.io",
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"
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"category": "profiler"
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},
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{
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"repo_name": "triton-runner",
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"repo_description": "Multi-Level Triton Runner supporting Python, IR, PTX, and cubin.",
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"homepage_link": "https://triton-runner.org",
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"
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},
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{
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"github_repo_link": "https://github.com/ByteDance-Seed/Triton-distributed",
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@@ -227,7 +227,7 @@
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"repo_name": "Liger-Kernel",
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"repo_description": "Efficient Triton Kernels for LLM Training",
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"homepage_link": "https://openreview.net/pdf?id=36SjAIT42G",
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"
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"category": "kernels"
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},
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{
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@@ -241,14 +241,14 @@
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"repo_name": "tritonparse",
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"repo_description": "TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels",
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"homepage_link": "https://meta-pytorch.org/tritonparse/",
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"
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},
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{
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"github_repo_link": "https://github.com/elastic/elasticsearch",
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"repo_name": "elasticsearch",
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"repo_description": "Free and Open Source, Distributed, RESTful Search Engine",
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"homepage_link": "https://www.elastic.co/products/elasticsearch",
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"
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"category": "search engine"
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},
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{
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"repo_name": "kubernetes",
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"repo_description": "Production-Grade Container Scheduling and Management",
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"homepage_link": "https://kubernetes.io",
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"
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},
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{
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"github_repo_link": "https://github.com/modelcontextprotocol/modelcontextprotocol",
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"github_repo_link": "https://github.com/lastmile-ai/mcp-agent",
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"repo_name": "mcp-agent",
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"repo_description": "Build effective agents using Model Context Protocol and simple workflow patterns",
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"
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},
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{
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"github_repo_link": "https://github.com/milvus-io/milvus",
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"repo_name": "milvus",
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"repo_description": "Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search",
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"homepage_link": "https://milvus.io",
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"category": "vector databse"
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},
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{
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"repo_name": "RaBitQ",
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"repo_description": "[SIGMOD 2024] RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search",
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"homepage_link": "https://github.com/VectorDB-NTU/RaBitQ-Library",
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"
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},
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{
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"github_repo_link": "https://github.com/Airtable/airtable.js",
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"repo_name": "mistral-inference",
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"repo_description": "Official inference library for Mistral models",
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"homepage_link": "https://mistral.ai/",
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"category": "inference engine"
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},
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{
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"repo_name": "dstack",
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"repo_description": "dstack is an open-source control plane for running development, training, and inference jobs on GPUs—across hyperscalers, neoclouds, or on-prem.",
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"homepage_link": "https://dstack.ai",
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"
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"amd",
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"cloud",
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"containers",
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"docker",
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"fine-tuning",
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"gpu",
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"inference",
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"k8s",
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"kubernetes",
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"llms",
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"machine-learning",
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"nvidia",
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"python",
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"training"
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]
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},
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{
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"github_repo_link": "https://github.com/numpy/numpy",
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"repo_name": "numpy",
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"repo_description": "The fundamental package for scientific computing with Python.",
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"homepage_link": "https://numpy.org",
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"category": "python library"
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},
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{
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"repo_name": "scipy",
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"repo_description": "SciPy library main repository",
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"homepage_link": "https://scipy.org",
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"category": "python library"
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{
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"repo_name": "numba",
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"repo_description": "NumPy aware dynamic Python compiler using LLVM",
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"homepage_link": "https://numba.pydata.org/",
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},
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{
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"github_repo_link": "https://github.com/sandialabs/torchdendrite",
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"repo_name": "torchdendrite",
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"repo_description": "Dendrites for PyTorch and SNNTorch neural networks ",
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"category": "machine learning framework"
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{
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"repo_name": "nccl",
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"repo_description": "Optimized primitives for collective multi-GPU communication",
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"homepage_link": "https://docs.nvidia.com/deeplearning/nccl/user-guide/docs/index.html",
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},
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{
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"github_repo_link": "https://github.com/sgl-project/ome",
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"repo_name": "ome",
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"repo_description": "OME is a Kubernetes operator for enterprise-grade management and serving of Large Language Models (LLMs)",
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"homepage_link": "http://docs.sglang.ai/ome/",
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"
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"deepseek",
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"k8s",
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"kimi-k2",
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"llama",
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"llm",
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"llm-inference",
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"model-as-a-service",
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"oracle-cloud",
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"sglang"
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]
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},
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{
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"github_repo_link": "https://github.com/volcengine/verl",
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"repo_name": "LMCache",
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"repo_description": "Supercharge Your LLM with the Fastest KV Cache Layer",
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"homepage_link": "https://lmcache.ai/",
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},
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{
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"github_repo_link": "https://github.com/linux-rdma/rdma-core",
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"repo_name": "rdma-core",
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"repo_description": "RDMA core userspace libraries and daemons",
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"homepage_link": null,
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"
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"infiniband",
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]
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},
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{
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"github_repo_link": "https://github.com/NVIDIA/TensorRT",
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"repo_name": "TensorRT",
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"repo_description": "NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.",
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"homepage_link": "https://developer.nvidia.com/tensorrt",
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"
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},
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{
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"github_repo_link": "https://github.com/Cambridge-ICCS/FTorch",
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"repo_name": "FTorch",
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"repo_description": "A library for directly calling PyTorch ML models from Fortran.",
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"homepage_link": "https://cambridge-iccs.github.io/FTorch/",
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},
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{
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"github_repo_link": "https://github.com/facebook/hhvm",
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"repo_name": "hhvm",
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"repo_description": "A virtual machine for executing programs written in Hack.",
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"homepage_link": "https://hhvm.com",
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},
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{
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"github_repo_link": "https://github.com/vosen/ZLUDA",
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"repo_name": "ZLUDA",
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"repo_description": "CUDA on non-NVIDIA GPUs",
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"homepage_link": "https://vosen.github.io/ZLUDA/",
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},
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{
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"github_repo_link": "https://github.com/vtsynergy/CU2CL",
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"repo_name": "pocl",
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"repo_description": "pocl - Portable Computing Language",
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"homepage_link": "https://portablecl.org",
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-
"
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},
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{
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"github_repo_link": "https://github.com/apache/spark",
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"repo_name": "spark",
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"repo_description": "Apache Spark - A unified analytics engine for large-scale data processing",
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"homepage_link": "https://spark.apache.org/",
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"
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},
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{
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"github_repo_link": "https://github.com/codelion/openevolve",
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"repo_name": "openevolve",
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"repo_description": "Open-source implementation of AlphaEvolve",
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"homepage_link": "",
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"
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"alpha-evolve",
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"alphacode",
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"deepmind",
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"discovery",
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"evolutionary-computation",
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"genetic-algorithms",
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"iterative-refinement",
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"llm-engineering",
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"llm-ensemble",
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"llm-inference",
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"openevolve",
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"optimize"
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]
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},
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{
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"github_repo_link": "https://github.com/ROCm/hipBLAS",
|
| 533 |
"repo_name": "hipBLAS",
|
| 534 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo",
|
| 535 |
"homepage_link": "https://github.com/ROCm/rocm-libraries",
|
| 536 |
-
"
|
| 537 |
},
|
| 538 |
{
|
| 539 |
"github_repo_link": "https://github.com/ROCm/roctracer",
|
|
@@ -546,25 +488,14 @@
|
|
| 546 |
"repo_name": "peft",
|
| 547 |
"repo_description": "🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.",
|
| 548 |
"homepage_link": "https://huggingface.co/docs/peft",
|
| 549 |
-
"
|
| 550 |
-
"adapter",
|
| 551 |
-
"diffusion",
|
| 552 |
-
"fine-tuning",
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| 553 |
-
"llm",
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| 554 |
-
"lora",
|
| 555 |
-
"parameter-efficient-learning",
|
| 556 |
-
"peft",
|
| 557 |
-
"python",
|
| 558 |
-
"pytorch",
|
| 559 |
-
"transformers"
|
| 560 |
-
]
|
| 561 |
},
|
| 562 |
{
|
| 563 |
"github_repo_link": "https://github.com/ROCm/hip",
|
| 564 |
"repo_name": "hip",
|
| 565 |
"repo_description": "HIP: C++ Heterogeneous-Compute Interface for Portability",
|
| 566 |
"homepage_link": "https://rocmdocs.amd.com/projects/HIP/",
|
| 567 |
-
"
|
| 568 |
},
|
| 569 |
{
|
| 570 |
"github_repo_link": "https://github.com/ROCm/composable_kernel",
|
|
@@ -581,16 +512,7 @@
|
|
| 581 |
"github_repo_link": "https://github.com/AMDResearch/intelliperf",
|
| 582 |
"repo_name": "intelliperf",
|
| 583 |
"repo_description": "Automated bottleneck detection and solution orchestration",
|
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-
"
|
| 585 |
-
"amd",
|
| 586 |
-
"genai",
|
| 587 |
-
"gpu",
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-
"hip",
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"instinct",
|
| 590 |
-
"llm",
|
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-
"performance",
|
| 592 |
-
"rocm"
|
| 593 |
-
]
|
| 594 |
},
|
| 595 |
{
|
| 596 |
"github_repo_link": "https://github.com/AMD-AGI/GEAK-agent",
|
|
@@ -635,7 +557,7 @@
|
|
| 635 |
"repo_name": "opencv",
|
| 636 |
"repo_description": "Open Source Computer Vision Library",
|
| 637 |
"homepage_link": "https://opencv.org",
|
| 638 |
-
"
|
| 639 |
},
|
| 640 |
{
|
| 641 |
"github_repo_link": "https://github.com/Lightning-AI/lightning-thunder",
|
|
@@ -647,26 +569,7 @@
|
|
| 647 |
"repo_name": "burn",
|
| 648 |
"repo_description": "Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.",
|
| 649 |
"homepage_link": "https://burn.dev",
|
| 650 |
-
"
|
| 651 |
-
"autodiff",
|
| 652 |
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|
| 653 |
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| 654 |
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"deep-learning",
|
| 655 |
-
"kernel-fusion",
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| 656 |
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"machine-learning",
|
| 657 |
-
"metal",
|
| 658 |
-
"ndarray",
|
| 659 |
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"neural-network",
|
| 660 |
-
"onnx",
|
| 661 |
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|
| 662 |
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"rocm",
|
| 663 |
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"rust",
|
| 664 |
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"scientific-computing",
|
| 665 |
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"tensor",
|
| 666 |
-
"vulkan",
|
| 667 |
-
"wasm",
|
| 668 |
-
"webgpu"
|
| 669 |
-
]
|
| 670 |
},
|
| 671 |
{
|
| 672 |
"github_repo_link": "https://github.com/huggingface/kernels-community",
|
|
@@ -686,37 +589,21 @@
|
|
| 686 |
"repo_name": "ondemand",
|
| 687 |
"repo_description": "Supercomputing. Seamlessly. Open, Interactive HPC Via the Web",
|
| 688 |
"homepage_link": "https://openondemand.org/",
|
| 689 |
-
"
|
| 690 |
-
"gateway",
|
| 691 |
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"hacktoberfest",
|
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"hpc",
|
| 693 |
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"hpc-applications"
|
| 694 |
-
]
|
| 695 |
},
|
| 696 |
{
|
| 697 |
"github_repo_link": "https://github.com/flashinfer-ai/flashinfer",
|
| 698 |
"repo_name": "flashinfer",
|
| 699 |
"repo_description": "FlashInfer: Kernel Library for LLM Serving",
|
| 700 |
"homepage_link": "https://flashinfer.ai",
|
| 701 |
-
"
|
| 702 |
-
"attention",
|
| 703 |
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"cuda",
|
| 704 |
-
"distributed-inference",
|
| 705 |
-
"gpu",
|
| 706 |
-
"jit",
|
| 707 |
-
"large-large-models",
|
| 708 |
-
"llm-inference",
|
| 709 |
-
"moe",
|
| 710 |
-
"nvidia",
|
| 711 |
-
"pytorch"
|
| 712 |
-
]
|
| 713 |
},
|
| 714 |
{
|
| 715 |
"github_repo_link": "https://github.com/ScalingIntelligence/KernelBench",
|
| 716 |
"repo_name": "KernelBench",
|
| 717 |
"repo_description": "KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems",
|
| 718 |
"homepage_link": "https://scalingintelligence.stanford.edu/blogs/kernelbench/",
|
| 719 |
-
"
|
| 720 |
"category": "benchmark"
|
| 721 |
},
|
| 722 |
{
|
|
@@ -735,28 +622,7 @@
|
|
| 735 |
"repo_name": "metaflow",
|
| 736 |
"repo_description": "Build, Manage and Deploy AI/ML Systems",
|
| 737 |
"homepage_link": "https://metaflow.org",
|
| 738 |
-
"
|
| 739 |
-
"agents",
|
| 740 |
-
"ai",
|
| 741 |
-
"aws",
|
| 742 |
-
"azure",
|
| 743 |
-
"cost-optimization",
|
| 744 |
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"datascience",
|
| 745 |
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"distributed-training",
|
| 746 |
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"gcp",
|
| 747 |
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"generative-ai",
|
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-
"high-performance-computing",
|
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"kubernetes",
|
| 750 |
-
"llm",
|
| 751 |
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"llmops",
|
| 752 |
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"machine-learning",
|
| 753 |
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"ml",
|
| 754 |
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"ml-infrastructure",
|
| 755 |
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"ml-platform",
|
| 756 |
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"mlops",
|
| 757 |
-
"model-management",
|
| 758 |
-
"python"
|
| 759 |
-
]
|
| 760 |
},
|
| 761 |
{
|
| 762 |
"github_repo_link": "https://github.com/harmonic-ai/IMO2025",
|
|
@@ -767,22 +633,14 @@
|
|
| 767 |
"repo_name": "lean4",
|
| 768 |
"repo_description": "Lean 4 programming language and theorem prover",
|
| 769 |
"homepage_link": "https://lean-lang.org",
|
| 770 |
-
"
|
| 771 |
},
|
| 772 |
{
|
| 773 |
"github_repo_link": "https://github.com/NVIDIA/warp",
|
| 774 |
"repo_name": "warp",
|
| 775 |
"repo_description": "A Python framework for accelerated simulation, data generation and spatial computing.",
|
| 776 |
"homepage_link": "https://nvidia.github.io/warp/",
|
| 777 |
-
"
|
| 778 |
-
"cuda",
|
| 779 |
-
"differentiable-programming",
|
| 780 |
-
"gpu",
|
| 781 |
-
"gpu-acceleration",
|
| 782 |
-
"nvidia",
|
| 783 |
-
"nvidia-warp",
|
| 784 |
-
"python"
|
| 785 |
-
]
|
| 786 |
},
|
| 787 |
{
|
| 788 |
"github_repo_link": "https://github.com/NVIDIA/cuda-python",
|
|
@@ -795,20 +653,7 @@
|
|
| 795 |
"repo_name": "truss",
|
| 796 |
"repo_description": "The simplest way to serve AI/ML models in production",
|
| 797 |
"homepage_link": "https://truss.baseten.co",
|
| 798 |
-
"
|
| 799 |
-
"artificial-intelligence",
|
| 800 |
-
"easy-to-use",
|
| 801 |
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"falcon",
|
| 802 |
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"inference-api",
|
| 803 |
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"inference-server",
|
| 804 |
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"machine-learning",
|
| 805 |
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"model-serving",
|
| 806 |
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"open-source",
|
| 807 |
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"packaging",
|
| 808 |
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"stable-diffusion",
|
| 809 |
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"whisper",
|
| 810 |
-
"wizardlm"
|
| 811 |
-
]
|
| 812 |
},
|
| 813 |
{
|
| 814 |
"github_repo_link": "https://github.com/laude-institute/terminal-bench",
|
|
@@ -822,7 +667,7 @@
|
|
| 822 |
"repo_name": "goose",
|
| 823 |
"repo_description": "an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM",
|
| 824 |
"homepage_link": "https://block.github.io/goose/",
|
| 825 |
-
"
|
| 826 |
"category": "agent"
|
| 827 |
},
|
| 828 |
{
|
|
@@ -830,26 +675,14 @@
|
|
| 830 |
"repo_name": "Mooncake",
|
| 831 |
"repo_description": "Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.",
|
| 832 |
"homepage_link": "https://kvcache-ai.github.io/Mooncake/",
|
| 833 |
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"
|
| 834 |
-
"disaggregation",
|
| 835 |
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"inference",
|
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"kvcache",
|
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"llm",
|
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"rdma",
|
| 839 |
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"sglang",
|
| 840 |
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"vllm"
|
| 841 |
-
]
|
| 842 |
},
|
| 843 |
{
|
| 844 |
"github_repo_link": "https://github.com/SWE-bench/SWE-bench",
|
| 845 |
"repo_name": "SWE-bench",
|
| 846 |
"repo_description": "SWE-bench: Can Language Models Resolve Real-world Github Issues?",
|
| 847 |
"homepage_link": "https://www.swebench.com",
|
| 848 |
-
"
|
| 849 |
-
"benchmark",
|
| 850 |
-
"language-model",
|
| 851 |
-
"software-engineering"
|
| 852 |
-
],
|
| 853 |
"category": "benchmark"
|
| 854 |
},
|
| 855 |
{
|
|
@@ -867,24 +700,14 @@
|
|
| 867 |
"github_repo_link": "https://github.com/triSYCL/triSYCL",
|
| 868 |
"repo_name": "triSYCL",
|
| 869 |
"repo_description": " Generic system-wide modern C++ for heterogeneous platforms with SYCL from Khronos Group",
|
| 870 |
-
"
|
| 871 |
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"cpp",
|
| 872 |
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"cpp20",
|
| 873 |
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"fpga",
|
| 874 |
-
"gpu-computing",
|
| 875 |
-
"heterogeneous-parallel-programming",
|
| 876 |
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"opencl",
|
| 877 |
-
"spir",
|
| 878 |
-
"sycl",
|
| 879 |
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"trisycl"
|
| 880 |
-
]
|
| 881 |
},
|
| 882 |
{
|
| 883 |
"github_repo_link": "https://github.com/pybind/pybind11",
|
| 884 |
"repo_name": "pybind11",
|
| 885 |
"repo_description": "Seamless operability between C++11 and Python",
|
| 886 |
"homepage_link": "https://pybind11.readthedocs.io/",
|
| 887 |
-
"
|
| 888 |
},
|
| 889 |
{
|
| 890 |
"github_repo_link": "https://github.com/andreinechaev/nvcc4jupyter",
|
|
@@ -897,40 +720,21 @@
|
|
| 897 |
"repo_name": "rocSOLVER",
|
| 898 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo",
|
| 899 |
"homepage_link": "https://github.com/ROCm/rocm-libraries",
|
| 900 |
-
"
|
| 901 |
},
|
| 902 |
{
|
| 903 |
"github_repo_link": "https://github.com/ROCm/Tensile",
|
| 904 |
"repo_name": "Tensile",
|
| 905 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo",
|
| 906 |
"homepage_link": "https://github.com/ROCm/rocm-libraries",
|
| 907 |
-
"
|
| 908 |
-
"amd",
|
| 909 |
-
"assembly",
|
| 910 |
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"auto-tuning",
|
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-
"blas",
|
| 912 |
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"dnn",
|
| 913 |
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"gemm",
|
| 914 |
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"gpu",
|
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"gpu-acceleration",
|
| 916 |
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"gpu-computing",
|
| 917 |
-
"hip",
|
| 918 |
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"machine-learning",
|
| 919 |
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"matrix-multiplication",
|
| 920 |
-
"neural-networks",
|
| 921 |
-
"opencl",
|
| 922 |
-
"python",
|
| 923 |
-
"radeon",
|
| 924 |
-
"tensor-contraction",
|
| 925 |
-
"tensors"
|
| 926 |
-
]
|
| 927 |
},
|
| 928 |
{
|
| 929 |
"github_repo_link": "https://github.com/ROCm/rocPRIM",
|
| 930 |
"repo_name": "rocPRIM",
|
| 931 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo ",
|
| 932 |
"homepage_link": "https://github.com/ROCm/rocm-libraries",
|
| 933 |
-
"
|
| 934 |
},
|
| 935 |
{
|
| 936 |
"github_repo_link": "https://github.com/ROCm/hipCUB",
|
|
@@ -943,7 +747,7 @@
|
|
| 943 |
"repo_name": "rocFFT",
|
| 944 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo",
|
| 945 |
"homepage_link": "https://github.com/ROCm/rocm-libraries",
|
| 946 |
-
"
|
| 947 |
},
|
| 948 |
{
|
| 949 |
"github_repo_link": "https://github.com/ROCm/rocSPARSE",
|
|
@@ -956,48 +760,26 @@
|
|
| 956 |
"repo_name": "rocRAND",
|
| 957 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo ",
|
| 958 |
"homepage_link": "https://github.com/ROCm/rocm-libraries",
|
| 959 |
-
"
|
| 960 |
},
|
| 961 |
{
|
| 962 |
"github_repo_link": "https://github.com/ROCm/MIOpen",
|
| 963 |
"repo_name": "MIOpen",
|
| 964 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo",
|
| 965 |
-
"homepage_link": "https://github.com/ROCm/rocm-libraries"
|
| 966 |
},
|
| 967 |
{
|
| 968 |
"github_repo_link": "https://github.com/Reference-LAPACK/lapack",
|
| 969 |
"repo_name": "lapack",
|
| 970 |
"repo_description": "LAPACK development repository",
|
| 971 |
-
"
|
| 972 |
-
"blas",
|
| 973 |
-
"eigenvalues",
|
| 974 |
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"eigenvectors",
|
| 975 |
-
"lapack",
|
| 976 |
-
"lapacke",
|
| 977 |
-
"linear-algebra",
|
| 978 |
-
"linear-equations",
|
| 979 |
-
"matrix-factorization",
|
| 980 |
-
"singular-values",
|
| 981 |
-
"svd"
|
| 982 |
-
]
|
| 983 |
},
|
| 984 |
{
|
| 985 |
"github_repo_link": "https://github.com/ccache/ccache",
|
| 986 |
"repo_name": "ccache",
|
| 987 |
"repo_description": "ccache – a fast compiler cache",
|
| 988 |
"homepage_link": "https://ccache.dev",
|
| 989 |
-
"
|
| 990 |
-
"c",
|
| 991 |
-
"c-plus-plus",
|
| 992 |
-
"cache",
|
| 993 |
-
"ccache",
|
| 994 |
-
"clang",
|
| 995 |
-
"compiler",
|
| 996 |
-
"cplusplus",
|
| 997 |
-
"cpp",
|
| 998 |
-
"gcc",
|
| 999 |
-
"msvc"
|
| 1000 |
-
],
|
| 1001 |
"category": "compiler"
|
| 1002 |
},
|
| 1003 |
{
|
|
@@ -1005,25 +787,7 @@
|
|
| 1005 |
"repo_name": "omnitrace",
|
| 1006 |
"repo_description": "Omnitrace: Application Profiling, Tracing, and Analysis",
|
| 1007 |
"homepage_link": "https://rocm.docs.amd.com/projects/omnitrace/en/docs-6.2.4/",
|
| 1008 |
-
"
|
| 1009 |
-
"binary-instrumentation",
|
| 1010 |
-
"code-coverage",
|
| 1011 |
-
"cpu-profiler",
|
| 1012 |
-
"dynamic-instrumentation",
|
| 1013 |
-
"gpu-profiler",
|
| 1014 |
-
"hardware-counters",
|
| 1015 |
-
"instrumentation-profiler",
|
| 1016 |
-
"linux",
|
| 1017 |
-
"performance-analysis",
|
| 1018 |
-
"performance-metrics",
|
| 1019 |
-
"performance-monitoring",
|
| 1020 |
-
"profiler",
|
| 1021 |
-
"profiling",
|
| 1022 |
-
"python",
|
| 1023 |
-
"python-profiler",
|
| 1024 |
-
"sampling-profiler",
|
| 1025 |
-
"tracing"
|
| 1026 |
-
]
|
| 1027 |
},
|
| 1028 |
{
|
| 1029 |
"github_repo_link": "https://github.com/KhronosGroup/OpenCL-SDK",
|
|
@@ -1035,14 +799,14 @@
|
|
| 1035 |
"repo_name": "synthetic-data-kit",
|
| 1036 |
"repo_description": "Tool for generating high quality Synthetic datasets",
|
| 1037 |
"homepage_link": "https://pypi.org/project/synthetic-data-kit/",
|
| 1038 |
-
"
|
| 1039 |
},
|
| 1040 |
{
|
| 1041 |
"github_repo_link": "https://github.com/unslothai/unsloth",
|
| 1042 |
"repo_name": "unsloth",
|
| 1043 |
"repo_description": "Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.",
|
| 1044 |
"homepage_link": "https://docs.unsloth.ai/",
|
| 1045 |
-
"
|
| 1046 |
},
|
| 1047 |
{
|
| 1048 |
"github_repo_link": "https://github.com/KhronosGroup/Vulkan-Docs",
|
|
@@ -1059,7 +823,7 @@
|
|
| 1059 |
"repo_name": "Wan2.2",
|
| 1060 |
"repo_description": "Wan: Open and Advanced Large-Scale Video Generative Models",
|
| 1061 |
"homepage_link": "https://wan.video",
|
| 1062 |
-
"
|
| 1063 |
},
|
| 1064 |
{
|
| 1065 |
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| 492 |
},
|
| 493 |
{
|
| 494 |
"github_repo_link": "https://github.com/ROCm/hip",
|
| 495 |
"repo_name": "hip",
|
| 496 |
"repo_description": "HIP: C++ Heterogeneous-Compute Interface for Portability",
|
| 497 |
"homepage_link": "https://rocmdocs.amd.com/projects/HIP/",
|
| 498 |
+
"closest_github_tag": "hip"
|
| 499 |
},
|
| 500 |
{
|
| 501 |
"github_repo_link": "https://github.com/ROCm/composable_kernel",
|
|
|
|
| 512 |
"github_repo_link": "https://github.com/AMDResearch/intelliperf",
|
| 513 |
"repo_name": "intelliperf",
|
| 514 |
"repo_description": "Automated bottleneck detection and solution orchestration",
|
| 515 |
+
"closest_github_tag": "performance"
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| 516 |
},
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| 517 |
{
|
| 518 |
"github_repo_link": "https://github.com/AMD-AGI/GEAK-agent",
|
|
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|
| 557 |
"repo_name": "opencv",
|
| 558 |
"repo_description": "Open Source Computer Vision Library",
|
| 559 |
"homepage_link": "https://opencv.org",
|
| 560 |
+
"closest_github_tag": "image-processing"
|
| 561 |
},
|
| 562 |
{
|
| 563 |
"github_repo_link": "https://github.com/Lightning-AI/lightning-thunder",
|
|
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|
| 569 |
"repo_name": "burn",
|
| 570 |
"repo_description": "Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.",
|
| 571 |
"homepage_link": "https://burn.dev",
|
| 572 |
+
"closest_github_tag": "machine-learning"
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| 573 |
},
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| 574 |
{
|
| 575 |
"github_repo_link": "https://github.com/huggingface/kernels-community",
|
|
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| 589 |
"repo_name": "ondemand",
|
| 590 |
"repo_description": "Supercomputing. Seamlessly. Open, Interactive HPC Via the Web",
|
| 591 |
"homepage_link": "https://openondemand.org/",
|
| 592 |
+
"closest_github_tag": "hpc"
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| 593 |
},
|
| 594 |
{
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| 595 |
"github_repo_link": "https://github.com/flashinfer-ai/flashinfer",
|
| 596 |
"repo_name": "flashinfer",
|
| 597 |
"repo_description": "FlashInfer: Kernel Library for LLM Serving",
|
| 598 |
"homepage_link": "https://flashinfer.ai",
|
| 599 |
+
"closest_github_tag": "attention"
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| 600 |
},
|
| 601 |
{
|
| 602 |
"github_repo_link": "https://github.com/ScalingIntelligence/KernelBench",
|
| 603 |
"repo_name": "KernelBench",
|
| 604 |
"repo_description": "KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems",
|
| 605 |
"homepage_link": "https://scalingintelligence.stanford.edu/blogs/kernelbench/",
|
| 606 |
+
"closest_github_tag": "benchmark",
|
| 607 |
"category": "benchmark"
|
| 608 |
},
|
| 609 |
{
|
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| 622 |
"repo_name": "metaflow",
|
| 623 |
"repo_description": "Build, Manage and Deploy AI/ML Systems",
|
| 624 |
"homepage_link": "https://metaflow.org",
|
| 625 |
+
"closest_github_tag": "machine-learning"
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| 626 |
},
|
| 627 |
{
|
| 628 |
"github_repo_link": "https://github.com/harmonic-ai/IMO2025",
|
|
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|
| 633 |
"repo_name": "lean4",
|
| 634 |
"repo_description": "Lean 4 programming language and theorem prover",
|
| 635 |
"homepage_link": "https://lean-lang.org",
|
| 636 |
+
"closest_github_tag": "lean"
|
| 637 |
},
|
| 638 |
{
|
| 639 |
"github_repo_link": "https://github.com/NVIDIA/warp",
|
| 640 |
"repo_name": "warp",
|
| 641 |
"repo_description": "A Python framework for accelerated simulation, data generation and spatial computing.",
|
| 642 |
"homepage_link": "https://nvidia.github.io/warp/",
|
| 643 |
+
"closest_github_tag": "gpu"
|
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| 644 |
},
|
| 645 |
{
|
| 646 |
"github_repo_link": "https://github.com/NVIDIA/cuda-python",
|
|
|
|
| 653 |
"repo_name": "truss",
|
| 654 |
"repo_description": "The simplest way to serve AI/ML models in production",
|
| 655 |
"homepage_link": "https://truss.baseten.co",
|
| 656 |
+
"closest_github_tag": "machine-learning"
|
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| 657 |
},
|
| 658 |
{
|
| 659 |
"github_repo_link": "https://github.com/laude-institute/terminal-bench",
|
|
|
|
| 667 |
"repo_name": "goose",
|
| 668 |
"repo_description": "an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM",
|
| 669 |
"homepage_link": "https://block.github.io/goose/",
|
| 670 |
+
"closest_github_tag": "mcp",
|
| 671 |
"category": "agent"
|
| 672 |
},
|
| 673 |
{
|
|
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|
| 675 |
"repo_name": "Mooncake",
|
| 676 |
"repo_description": "Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.",
|
| 677 |
"homepage_link": "https://kvcache-ai.github.io/Mooncake/",
|
| 678 |
+
"closest_github_tag": "inference"
|
|
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|
| 679 |
},
|
| 680 |
{
|
| 681 |
"github_repo_link": "https://github.com/SWE-bench/SWE-bench",
|
| 682 |
"repo_name": "SWE-bench",
|
| 683 |
"repo_description": "SWE-bench: Can Language Models Resolve Real-world Github Issues?",
|
| 684 |
"homepage_link": "https://www.swebench.com",
|
| 685 |
+
"closest_github_tag": "benchmark",
|
|
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|
|
|
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|
|
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|
|
| 686 |
"category": "benchmark"
|
| 687 |
},
|
| 688 |
{
|
|
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|
| 700 |
"github_repo_link": "https://github.com/triSYCL/triSYCL",
|
| 701 |
"repo_name": "triSYCL",
|
| 702 |
"repo_description": " Generic system-wide modern C++ for heterogeneous platforms with SYCL from Khronos Group",
|
| 703 |
+
"closest_github_tag": "opencl"
|
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|
| 704 |
},
|
| 705 |
{
|
| 706 |
"github_repo_link": "https://github.com/pybind/pybind11",
|
| 707 |
"repo_name": "pybind11",
|
| 708 |
"repo_description": "Seamless operability between C++11 and Python",
|
| 709 |
"homepage_link": "https://pybind11.readthedocs.io/",
|
| 710 |
+
"closest_github_tag": "bindings"
|
| 711 |
},
|
| 712 |
{
|
| 713 |
"github_repo_link": "https://github.com/andreinechaev/nvcc4jupyter",
|
|
|
|
| 720 |
"repo_name": "rocSOLVER",
|
| 721 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo",
|
| 722 |
"homepage_link": "https://github.com/ROCm/rocm-libraries",
|
| 723 |
+
"closest_github_tag": "rocm"
|
| 724 |
},
|
| 725 |
{
|
| 726 |
"github_repo_link": "https://github.com/ROCm/Tensile",
|
| 727 |
"repo_name": "Tensile",
|
| 728 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo",
|
| 729 |
"homepage_link": "https://github.com/ROCm/rocm-libraries",
|
| 730 |
+
"closest_github_tag": "gpu"
|
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|
| 731 |
},
|
| 732 |
{
|
| 733 |
"github_repo_link": "https://github.com/ROCm/rocPRIM",
|
| 734 |
"repo_name": "rocPRIM",
|
| 735 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo ",
|
| 736 |
"homepage_link": "https://github.com/ROCm/rocm-libraries",
|
| 737 |
+
"closest_github_tag": "hip"
|
| 738 |
},
|
| 739 |
{
|
| 740 |
"github_repo_link": "https://github.com/ROCm/hipCUB",
|
|
|
|
| 747 |
"repo_name": "rocFFT",
|
| 748 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo",
|
| 749 |
"homepage_link": "https://github.com/ROCm/rocm-libraries",
|
| 750 |
+
"closest_github_tag": "hip"
|
| 751 |
},
|
| 752 |
{
|
| 753 |
"github_repo_link": "https://github.com/ROCm/rocSPARSE",
|
|
|
|
| 760 |
"repo_name": "rocRAND",
|
| 761 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo ",
|
| 762 |
"homepage_link": "https://github.com/ROCm/rocm-libraries",
|
| 763 |
+
"closest_github_tag": "hip"
|
| 764 |
},
|
| 765 |
{
|
| 766 |
"github_repo_link": "https://github.com/ROCm/MIOpen",
|
| 767 |
"repo_name": "MIOpen",
|
| 768 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo",
|
| 769 |
+
"homepage_link": "https://github.com/ROCm/rocm-libraries"
|
| 770 |
},
|
| 771 |
{
|
| 772 |
"github_repo_link": "https://github.com/Reference-LAPACK/lapack",
|
| 773 |
"repo_name": "lapack",
|
| 774 |
"repo_description": "LAPACK development repository",
|
| 775 |
+
"closest_github_tag": "linear-algebra"
|
|
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|
| 776 |
},
|
| 777 |
{
|
| 778 |
"github_repo_link": "https://github.com/ccache/ccache",
|
| 779 |
"repo_name": "ccache",
|
| 780 |
"repo_description": "ccache – a fast compiler cache",
|
| 781 |
"homepage_link": "https://ccache.dev",
|
| 782 |
+
"closest_github_tag": "compiler",
|
|
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|
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|
|
|
| 783 |
"category": "compiler"
|
| 784 |
},
|
| 785 |
{
|
|
|
|
| 787 |
"repo_name": "omnitrace",
|
| 788 |
"repo_description": "Omnitrace: Application Profiling, Tracing, and Analysis",
|
| 789 |
"homepage_link": "https://rocm.docs.amd.com/projects/omnitrace/en/docs-6.2.4/",
|
| 790 |
+
"closest_github_tag": "performance-analysis"
|
|
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|
| 791 |
},
|
| 792 |
{
|
| 793 |
"github_repo_link": "https://github.com/KhronosGroup/OpenCL-SDK",
|
|
|
|
| 799 |
"repo_name": "synthetic-data-kit",
|
| 800 |
"repo_description": "Tool for generating high quality Synthetic datasets",
|
| 801 |
"homepage_link": "https://pypi.org/project/synthetic-data-kit/",
|
| 802 |
+
"closest_github_tag": "generation"
|
| 803 |
},
|
| 804 |
{
|
| 805 |
"github_repo_link": "https://github.com/unslothai/unsloth",
|
| 806 |
"repo_name": "unsloth",
|
| 807 |
"repo_description": "Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.",
|
| 808 |
"homepage_link": "https://docs.unsloth.ai/",
|
| 809 |
+
"closest_github_tag": "unsloth"
|
| 810 |
},
|
| 811 |
{
|
| 812 |
"github_repo_link": "https://github.com/KhronosGroup/Vulkan-Docs",
|
|
|
|
| 823 |
"repo_name": "Wan2.2",
|
| 824 |
"repo_description": "Wan: Open and Advanced Large-Scale Video Generative Models",
|
| 825 |
"homepage_link": "https://wan.video",
|
| 826 |
+
"closest_github_tag": "video-generation"
|
| 827 |
},
|
| 828 |
{
|
| 829 |
"github_repo_link": "https://github.com/AMD-AGI/Primus-Turbo",
|
README.md
CHANGED
|
@@ -4,7 +4,4 @@ language:
|
|
| 4 |
pretty_name: PyTorch Conference 2025 GitHub Repos
|
| 5 |
---
|
| 6 |
# PyTorch Conference 2025 GitHub Repos
|
| 7 |
-
I created a list of every GitHub repo mentioned during PyTorch Conference 2025 and Open Source AI Week.
|
| 8 |
-
|
| 9 |
-
# AI Generated Content!
|
| 10 |
-
The fields `repo_description`, `homepage_link` and `repo_tags` come from AI generated code.
|
|
|
|
| 4 |
pretty_name: PyTorch Conference 2025 GitHub Repos
|
| 5 |
---
|
| 6 |
# PyTorch Conference 2025 GitHub Repos
|
| 7 |
+
I created a list of every GitHub repo mentioned during PyTorch Conference 2025 and Open Source AI Week.
|
|
|
|
|
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|