Added PyTorch Conference 2025 GitHub Repos dataset

PyTorchConference2025_GithubRepos.json

@@ -0,0 +1,1722 @@
+[
+    {
+        "github_repo_link": "https://github.com/pytorch/pytorch",
+        "repo_name": "pytorch",
+        "repo_description": "Tensors and Dynamic neural networks in Python with strong GPU acceleration",
+        "homepage_link": "https://pytorch.org",
+        "repo_tags": [
+            "autograd",
+            "deep-learning",
+            "gpu",
+            "machine-learning",
+            "neural-network",
+            "numpy",
+            "python",
+            "tensor"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/pytorch/executorch",
+        "repo_name": "executorch",
+        "repo_description": "On-device AI across mobile, embedded and edge for PyTorch",
+        "homepage_link": "https://executorch.ai",
+        "repo_tags": [
+            "deep-learning",
+            "embedded",
+            "gpu",
+            "machine-learning",
+            "mobile",
+            "neural-network",
+            "tensor"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/ggml-org/llama.cpp",
+        "repo_name": "llama.cpp",
+        "repo_description": "LLM inference in C/C++",
+        "homepage_link": "",
+        "repo_tags": [
+            "ggml"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/tensorflow/tflite-micro",
+        "repo_name": "tflite-micro",
+        "repo_description": "Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).",
+        "homepage_link": "",
+        "repo_tags": []
+    },
+    {
+        "github_repo_link": "https://github.com/onnx/onnx",
+        "repo_name": "onnx",
+        "repo_description": "Open standard for machine learning interoperability",
+        "homepage_link": "https://onnx.ai/",
+        "repo_tags": [
+            "deep-learning",
+            "deep-neural-networks",
+            "dnn",
+            "keras",
+            "machine-learning",
+            "ml",
+            "neural-network",
+            "onnx",
+            "pytorch",
+            "scikit-learn",
+            "tensorflow"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/KhronosGroup/OpenCL-SDK",
+        "repo_name": "OpenCL-SDK",
+        "repo_description": "OpenCL SDK",
+        "homepage_link": "",
+        "repo_tags": []
+    },
+    {
+        "github_repo_link": "https://github.com/meta-llama/synthetic-data-kit",
+        "repo_name": "synthetic-data-kit",
+        "repo_description": "Tool for generating high quality Synthetic datasets",
+        "homepage_link": "https://pypi.org/project/synthetic-data-kit/",
+        "repo_tags": [
+            "data",
+            "generation",
+            "llm",
+            "python",
+            "synthetic"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/unslothai/unsloth",
+        "repo_name": "unsloth",
+        "repo_description": "Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.",
+        "homepage_link": "https://docs.unsloth.ai/",
+        "repo_tags": [
+            "agent",
+            "deepseek",
+            "deepseek-r1",
+            "fine-tuning",
+            "gemma",
+            "gemma3",
+            "gpt-oss",
+            "llama",
+            "llama3",
+            "llm",
+            "llms",
+            "mistral",
+            "openai",
+            "qwen",
+            "qwen3",
+            "reinforcement-learning",
+            "text-to-speech",
+            "tts",
+            "unsloth",
+            "voice-cloning"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/KhronosGroup/Vulkan-Docs",
+        "repo_name": "Vulkan-Docs",
+        "repo_description": "The Vulkan API Specification and related tools",
+        "homepage_link": null,
+        "repo_tags": []
+    },
+    {
+        "github_repo_link": "https://github.com/ray-project/ray",
+        "repo_name": "ray",
+        "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.",
+        "homepage_link": "https://ray.io",
+        "repo_tags": [
+            "data-science",
+            "deep-learning",
+            "deployment",
+            "distributed",
+            "hyperparameter-optimization",
+            "hyperparameter-search",
+            "large-language-models",
+            "llm",
+            "llm-inference",
+            "llm-serving",
+            "machine-learning",
+            "optimization",
+            "parallel",
+            "python",
+            "pytorch",
+            "ray",
+            "reinforcement-learning",
+            "rllib",
+            "serving",
+            "tensorflow"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/vllm-project/vllm",
+        "repo_name": "vllm",
+        "repo_description": "A high-throughput and memory-efficient inference and serving engine for LLMs",
+        "homepage_link": "https://docs.vllm.ai",
+        "repo_tags": [
+            "amd",
+            "blackwell",
+            "cuda",
+            "deepseek",
+            "deepseek-v3",
+            "gpt",
+            "gpt-oss",
+            "inference",
+            "kimi",
+            "llama",
+            "llm",
+            "llm-serving",
+            "model-serving",
+            "moe",
+            "openai",
+            "pytorch",
+            "qwen",
+            "qwen3",
+            "tpu",
+            "transformer"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/ollama/ollama",
+        "repo_name": "ollama",
+        "repo_description": "Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.",
+        "homepage_link": "https://ollama.com",
+        "repo_tags": [
+            "deepseek",
+            "gemma",
+            "gemma3",
+            "gemma3n",
+            "go",
+            "golang",
+            "gpt-oss",
+            "llama",
+            "llama2",
+            "llama3",
+            "llava",
+            "llm",
+            "llms",
+            "mistral",
+            "ollama",
+            "phi4",
+            "qwen"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/sgl-project/sglang",
+        "repo_name": "sglang",
+        "repo_description": "SGLang is a fast serving framework for large language models and vision language models.",
+        "homepage_link": "https://docs.sglang.ai/",
+        "repo_tags": [
+            "blackwell",
+            "cuda",
+            "deepseek",
+            "deepseek-r1",
+            "deepseek-v3",
+            "deepseek-v3-2",
+            "gpt-oss",
+            "inference",
+            "kimi",
+            "llama",
+            "llama3",
+            "llava",
+            "llm",
+            "llm-serving",
+            "moe",
+            "openai",
+            "pytorch",
+            "qwen3",
+            "transformer",
+            "vlm"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/Wan-Video/Wan2.2",
+        "repo_name": "Wan2.2",
+        "repo_description": "Wan: Open and Advanced Large-Scale Video Generative Models",
+        "homepage_link": "https://wan.video",
+        "repo_tags": [
+            "aigc",
+            "video-generation"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/pytorch/ao",
+        "repo_name": "ao",
+        "repo_description": "PyTorch native quantization and sparsity for training and inference",
+        "homepage_link": "https://pytorch.org/ao/stable/index.html",
+        "repo_tags": [
+            "brrr",
+            "cuda",
+            "dtypes",
+            "float8",
+            "inference",
+            "llama",
+            "mx",
+            "offloading",
+            "optimizer",
+            "pytorch",
+            "quantization",
+            "sparsity",
+            "training",
+            "transformer"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/triton-lang/triton",
+        "repo_name": "triton",
+        "repo_description": "Development repository for the Triton language and compiler",
+        "homepage_link": "https://triton-lang.org/",
+        "repo_tags": []
+    },
+    {
+        "github_repo_link": "https://github.com/AMD-AGI/Primus-Turbo",
+        "repo_name": "Primus-Turbo",
+        "repo_description": null,
+        "homepage_link": null,
+        "repo_tags": []
+    },
+    {
+        "github_repo_link": "https://github.com/HazyResearch/ThunderKittens",
+        "repo_name": "ThunderKittens",
+        "repo_description": "Tile primitives for speedy kernels",
+        "homepage_link": null,
+        "repo_tags": []
+    },
+    {
+        "github_repo_link": "https://github.com/gpu-mode/reference-kernels",
+        "repo_name": "reference-kernels",
+        "repo_description": "Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!",
+        "homepage_link": "https://gpumode.com",
+        "repo_tags": [
+            "cuda",
+            "gpu",
+            "leaderboard",
+            "triton"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/guandeh17/Self-Forcing",
+        "repo_name": "Self-Forcing",
+        "repo_description": "Official codebase for \"Self Forcing: Bridging Training and Inference in Autoregressive Video Diffusion\" (NeurIPS 2025 Spotlight)",
+        "homepage_link": "",
+        "repo_tags": []
+    },
+    {
+        "github_repo_link": "https://github.com/chenfengxu714/StreamDiffusionV2",
+        "repo_name": "StreamDiffusionV2",
+        "repo_description": "StreamDiffusion, Live Stream APP",
+        "homepage_link": "",
+        "repo_tags": []
+    },
+    {
+        "github_repo_link": "https://github.com/cumulo-autumn/StreamDiffusion",
+        "repo_name": "StreamDiffusion",
+        "repo_description": "StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation",
+        "homepage_link": "",
+        "repo_tags": []
+    },
+    {
+        "github_repo_link": "https://github.com/comfyanonymous/ComfyUI",
+        "repo_name": "ComfyUI",
+        "repo_description": "The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.",
+        "homepage_link": "https://www.comfy.org/",
+        "repo_tags": [
+            "ai",
+            "comfy",
+            "comfyui",
+            "python",
+            "pytorch",
+            "stable-diffusion"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/Jeff-LiangF/streamv2v",
+        "repo_name": "streamv2v",
+        "repo_description": "Official Pytorch implementation of StreamV2V. ",
+        "homepage_link": "https://jeff-liangf.github.io/projects/streamv2v/",
+        "repo_tags": []
+    },
+    {
+        "github_repo_link": "https://github.com/letta-ai/letta",
+        "repo_name": "letta",
+        "repo_description": "Letta is the platform for building stateful agents: open AI with advanced memory that can learn and self-improve over time.",
+        "homepage_link": "https://docs.letta.com/",
+        "repo_tags": [
+            "ai",
+            "ai-agents",
+            "llm",
+            "llm-agent"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/jupyterlab/jupyterlab",
+        "repo_name": "jupyterlab",
+        "repo_description": "JupyterLab computational environment.",
+        "homepage_link": "https://jupyterlab.readthedocs.io/",
+        "repo_tags": [
+            "jupyter",
+            "jupyterlab"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/ROCm/rocm-systems",
+        "repo_name": "rocm-systems",
+        "repo_description": "super repo for rocm systems projects",
+        "homepage_link": "",
+        "repo_tags": []
+    },
+    {
+        "github_repo_link": "https://github.com/NVIDIA/cutlass",
+        "repo_name": "cutlass",
+        "repo_description": "CUDA Templates and Python DSLs for High-Performance Linear Algebra",
+        "homepage_link": "https://docs.nvidia.com/cutlass/index.html",
+        "repo_tags": [
+            "cpp",
+            "cuda",
+            "deep-learning",
+            "deep-learning-library",
+            "gpu",
+            "nvidia",
+            "python"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/pytorch/helion",
+        "repo_name": "helion",
+        "repo_description": "A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.",
+        "homepage_link": null,
+        "repo_tags": []
+    },
+    {
+        "github_repo_link": "https://github.com/jax-ml/jax",
+        "repo_name": "jax",
+        "repo_description": "Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more",
+        "homepage_link": "https://docs.jax.dev",
+        "repo_tags": [
+            "jax"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/tensorflow/tensorflow",
+        "repo_name": "tensorflow",
+        "repo_description": "An Open Source Machine Learning Framework for Everyone",
+        "homepage_link": "https://tensorflow.org",
+        "repo_tags": [
+            "deep-learning",
+            "deep-neural-networks",
+            "distributed",
+            "machine-learning",
+            "ml",
+            "neural-network",
+            "python",
+            "tensorflow"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/deepspeedai/DeepSpeed",
+        "repo_name": "DeepSpeed",
+        "repo_description": "DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.",
+        "homepage_link": "https://www.deepspeed.ai/",
+        "repo_tags": [
+            "billion-parameters",
+            "compression",
+            "data-parallelism",
+            "deep-learning",
+            "gpu",
+            "inference",
+            "machine-learning",
+            "mixture-of-experts",
+            "model-parallelism",
+            "pipeline-parallelism",
+            "pytorch",
+            "trillion-parameters",
+            "zero"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/triton-inference-server/server",
+        "repo_name": "server",
+        "repo_description": "The Triton Inference Server provides an optimized cloud and edge inferencing solution. ",
+        "homepage_link": "https://docs.nvidia.com/deeplearning/triton-inference-server/user-guide/docs/index.html",
+        "repo_tags": [
+            "cloud",
+            "datacenter",
+            "deep-learning",
+            "edge",
+            "gpu",
+            "inference",
+            "machine-learning"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/ROCm/ROCm",
+        "repo_name": "ROCm",
+        "repo_description": "AMD ROCm™ Software - GitHub Home",
+        "homepage_link": "https://rocm.docs.amd.com",
+        "repo_tags": [
+            "documentation"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/llvm/llvm-project",
+        "repo_name": "llvm-project",
+        "repo_description": "The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.",
+        "homepage_link": "http://llvm.org",
+        "repo_tags": []
+    },
+    {
+        "github_repo_link": "https://github.com/cwpearson/cupti",
+        "repo_name": "cupti",
+        "repo_description": "Profile how CUDA applications create and modify data in memory.",
+        "homepage_link": "",
+        "repo_tags": []
+    },
+    {
+        "github_repo_link": "https://github.com/LLNL/hatchet",
+        "repo_name": "hatchet",
+        "repo_description": "Graph-indexed Pandas DataFrames for analyzing hierarchical performance data",
+        "homepage_link": "https://llnl-hatchet.readthedocs.io",
+        "repo_tags": [
+            "comparative-analysis",
+            "data-analytics",
+            "graphs",
+            "hierarchical-data",
+            "hpc",
+            "performance",
+            "performance-analysis",
+            "python",
+            "radiuss",
+            "trees"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/toyaix/triton-runner",
+        "repo_name": "triton-runner",
+        "repo_description": "Multi-Level Triton Runner supporting Python, IR, PTX, and cubin.",
+        "homepage_link": "https://triton-runner.org",
+        "repo_tags": [
+            "ai-infra",
+            "cuda",
+            "tools",
+            "triton"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/ByteDance-Seed/Triton-distributed",
+        "repo_name": "Triton-distributed",
+        "repo_description": "Distributed Compiler based on Triton for Parallel Systems",
+        "homepage_link": "https://triton-distributed.readthedocs.io/en/latest/",
+        "repo_tags": []
+    },
+    {
+        "github_repo_link": "https://github.com/linkedin/Liger-Kernel",
+        "repo_name": "Liger-Kernel",
+        "repo_description": "Efficient Triton Kernels for LLM Training",
+        "homepage_link": "https://openreview.net/pdf?id=36SjAIT42G",
+        "repo_tags": [
+            "finetuning",
+            "gemma2",
+            "hacktoberfest",
+            "llama",
+            "llama3",
+            "llm-training",
+            "llms",
+            "mistral",
+            "phi3",
+            "triton",
+            "triton-kernels"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/thunlp/TritonBench",
+        "repo_name": "TritonBench",
+        "repo_description": "TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators",
+        "homepage_link": "",
+        "repo_tags": []
+    },
+    {
+        "github_repo_link": "https://github.com/meta-pytorch/tritonparse",
+        "repo_name": "tritonparse",
+        "repo_description": "TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels",
+        "homepage_link": "https://meta-pytorch.org/tritonparse/",
+        "repo_tags": [
+            "compiler",
+            "debugging",
+            "gpu-kernel",
+            "interactive-visualization",
+            "ir-analysis",
+            "ir-visualization",
+            "pytorch",
+            "structured-logging",
+            "triton"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/elastic/elasticsearch",
+        "repo_name": "elasticsearch",
+        "repo_description": "Free and Open Source, Distributed, RESTful Search Engine",
+        "homepage_link": "https://www.elastic.co/products/elasticsearch",
+        "repo_tags": [
+            "elasticsearch",
+            "java",
+            "search-engine"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/kubernetes/kubernetes",
+        "repo_name": "kubernetes",
+        "repo_description": "Production-Grade Container Scheduling and Management",
+        "homepage_link": "https://kubernetes.io",
+        "repo_tags": [
+            "cncf",
+            "containers",
+            "go",
+            "kubernetes"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/modelcontextprotocol/modelcontextprotocol",
+        "repo_name": "modelcontextprotocol",
+        "repo_description": "Specification and documentation for the Model Context Protocol",
+        "homepage_link": "https://modelcontextprotocol.io",
+        "repo_tags": []
+    },
+    {
+        "github_repo_link": "https://github.com/lastmile-ai/mcp-agent",
+        "repo_name": "mcp-agent",
+        "repo_description": "Build effective agents using Model Context Protocol and simple workflow patterns",
+        "homepage_link": "",
+        "repo_tags": [
+            "agents",
+            "ai",
+            "ai-agents",
+            "llm",
+            "llms",
+            "mcp",
+            "model-context-protocol",
+            "python"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/milvus-io/milvus",
+        "repo_name": "milvus",
+        "repo_description": "Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search",
+        "homepage_link": "https://milvus.io",
+        "repo_tags": [
+            "anns",
+            "cloud-native",
+            "diskann",
+            "distributed",
+            "embedding-database",
+            "embedding-similarity",
+            "embedding-store",
+            "faiss",
+            "golang",
+            "hnsw",
+            "image-search",
+            "llm",
+            "nearest-neighbor-search",
+            "rag",
+            "vector-database",
+            "vector-search",
+            "vector-similarity",
+            "vector-store"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/gaoj0017/RaBitQ",
+        "repo_name": "RaBitQ",
+        "repo_description": "[SIGMOD 2024] RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search",
+        "homepage_link": "https://github.com/VectorDB-NTU/RaBitQ-Library",
+        "repo_tags": [
+            "high-dimensional-vectors",
+            "nearest-neighbor-search",
+            "quantization"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/Airtable/airtable.js",
+        "repo_name": "airtable.js",
+        "repo_description": "Airtable javascript client",
+        "homepage_link": null,
+        "repo_tags": []
+    },
+    {
+        "github_repo_link": "https://github.com/mistralai/mistral-inference",
+        "repo_name": "mistral-inference",
+        "repo_description": "Official inference library for Mistral models",
+        "homepage_link": "https://mistral.ai/",
+        "repo_tags": [
+            "llm",
+            "llm-inference",
+            "mistralai"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/dstackai/dstack",
+        "repo_name": "dstack",
+        "repo_description": "dstack is an open-source control plane for running development, training, and inference jobs on GPUs—across hyperscalers, neoclouds, or on-prem.",
+        "homepage_link": "https://dstack.ai",
+        "repo_tags": [
+            "amd",
+            "cloud",
+            "containers",
+            "docker",
+            "fine-tuning",
+            "gpu",
+            "inference",
+            "k8s",
+            "kubernetes",
+            "llms",
+            "machine-learning",
+            "nvidia",
+            "orchestration",
+            "python",
+            "slurm",
+            "training"
+        ]
+    },
+    {
+        "github_repo_link": "https://github.com/numpy/numpy",
+        "repo_name": "numpy",
+        "repo_description": "The fundamental package for scientific computing with Python.",
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