Upload PyTorchConference2025_GithubRepos.json

PyTorchConference2025_GithubRepos.json

@@ -4,42 +4,14 @@
         "repo_name": "pytorch",
         "repo_description": "Tensors and Dynamic neural networks in Python with strong GPU acceleration",
         "homepage_link": "https://pytorch.org",
-        "repo_tags": [
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-            "deep-learning",
-            "gpu",
-            "machine-learning",
-            "neural-network",
-            "numpy",
-            "python",
-            "tensor"
-        ],
+        "repo_tag": "machine-learning",
         "category": "machine learning framework"
     },
-    {
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-        "repo_name": "executorch",
-        "repo_description": "On-device AI across mobile, embedded and edge for PyTorch",
-        "homepage_link": "https://executorch.ai",
-        "repo_tags": [
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-            "embedded",
-            "gpu",
-            "machine-learning",
-            "mobile",
-            "neural-network",
-            "tensor"
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         "repo_name": "llama.cpp",
         "repo_description": "LLM inference in C/C++",
-        "homepage_link": "",
-        "repo_tags": [
-            "ggml"
-        ],
+        "repo_tag": "ggml",
         "category": "inference engine"
     },
     {
@@ -47,75 +19,21 @@
         "repo_name": "onnx",
         "repo_description": "Open standard for machine learning interoperability",
         "homepage_link": "https://onnx.ai/",
-        "repo_tags": [
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-            "deep-neural-networks",
-            "dnn",
-            "keras",
-            "machine-learning",
-            "ml",
-            "neural-network",
-            "onnx",
-            "pytorch",
-            "scikit-learn",
-            "tensorflow"
-        ]
+        "repo_tags": "deep-learning"
     },
     {
         "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",
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-            "deep-learning",
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-            "distributed",
-            "hyperparameter-optimization",
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-            "llm",
-            "llm-inference",
-            "llm-serving",
-            "machine-learning",
-            "optimization",
-            "parallel",
-            "python",
-            "pytorch",
-            "ray",
-            "reinforcement-learning",
-            "rllib",
-            "serving",
-            "tensorflow"
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+        "repo_tag": "deep-learning"
     },
     {
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         "repo_name": "vllm",
         "repo_description": "A high-throughput and memory-efficient inference and serving engine for LLMs",
         "homepage_link": "https://docs.vllm.ai",
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-            "cuda",
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-            "deepseek-v3",
-            "gpt",
-            "gpt-oss",
-            "inference",
-            "kimi",
-            "llama",
-            "llm",
-            "llm-serving",
-            "model-serving",
-            "moe",
-            "openai",
-            "pytorch",
-            "qwen",
-            "qwen3",
-            "tpu",
-            "transformer"
-        ],
+        "repo_tag": "inference",
         "category": "inference engine"
     },
     {
@@ -123,25 +41,7 @@
         "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": [
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-            "gemma",
-            "gemma3",
-            "gemma3n",
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-            "golang",
-            "gpt-oss",
-            "llama",
-            "llama2",
-            "llama3",
-            "llava",
-            "llm",
-            "llms",
-            "mistral",
-            "ollama",
-            "phi4",
-            "qwen"
-        ],
+        "repo_tag": "llms",
         "category": "inference engine"
     },
     {
@@ -149,173 +49,106 @@
         "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/",
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-            "moe",
-            "openai",
-            "pytorch",
-            "qwen3",
-            "transformer",
-            "vlm"
-        ],
+        "repo_tag": "inference",
         "category": "inference engine"
     },
+    {
+        "github_repo_link": "https://github.com/modular/modular",
+        "repo_name": "modular",
+        "repo_description": "The Modular Platform (includes MAX & Mojo)",
+        "homepage_link": "https://docs.modular.com/",
+        "repo_tag": "mojo"
+    },
     {
         "github_repo_link": "https://github.com/pytorch/ao",
         "repo_name": "ao",
         "repo_description": "PyTorch native quantization and sparsity for training and inference",
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-            "offloading",
-            "optimizer",
-            "pytorch",
-            "quantization",
-            "sparsity",
-            "training",
-            "transformer"
-        ]
+        "repo_tag": "quantization"
     },
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         "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": [],
         "category": "dsl"
     },
     {
         "github_repo_link": "https://github.com/HazyResearch/ThunderKittens",
         "repo_name": "ThunderKittens",
-        "repo_description": "Tile primitives for speedy kernels",
-        "homepage_link": null,
-        "repo_tags": []
+        "repo_description": "Tile primitives for speedy kernels"
     },
     {
         "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"
-        ],
+        "repo_tag": "gpu",
         "category": "kernels"
     },
+    {
+        "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_tag": "mobile",
+        "category": "model compiler"
+    },
     {
         "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": []
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-        "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": []
+        "repo_description": "StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation"
     },
     {
         "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.",
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-            "ai",
-            "comfy",
-            "comfyui",
-            "python",
-            "pytorch",
-            "stable-diffusion"
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+        "repo_tags": "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": []
+        "homepage_link": "https://jeff-liangf.github.io/projects/streamv2v/"
     },
     {
         "github_repo_link": "https://github.com/letta-ai/letta",
         "repo_name": "letta",
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         "homepage_link": "https://docs.letta.com/",
-        "repo_tags": [
-            "ai",
-            "ai-agents",
-            "llm",
-            "llm-agent"
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         "repo_name": "jupyterlab",
         "repo_description": "JupyterLab computational environment.",
         "homepage_link": "https://jupyterlab.readthedocs.io/",
-        "repo_tags": [
-            "jupyter",
-            "jupyterlab"
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+        "repo_tag": "jupyter",
         "category": "ui"
     },
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         "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": []
+        "repo_description": "super repo for rocm systems projects"
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         "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"
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+        "repo_tag": "cuda"
     },
     {
         "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": [],
         "category": "dsl"
     },
     {
@@ -323,25 +156,14 @@
         "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"
-        ]
+        "repo_tag": "jax"
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         "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",
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-            "distributed",
-            "machine-learning",
-            "ml",
-            "neural-network",
-            "python",
-            "tensorflow"
-        ],
+        "repo_tag": "deep-learning",
         "category": "machine learning framework"
     },
     {
@@ -349,60 +171,33 @@
         "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/",
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-            "data-parallelism",
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-            "gpu",
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-            "mixture-of-experts",
-            "model-parallelism",
-            "pipeline-parallelism",
-            "pytorch",
-            "trillion-parameters",
-            "zero"
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         "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"
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+        "repo_tag": "inference"
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         "repo_name": "ROCm",
         "repo_description": "AMD ROCm™ Software - GitHub Home",
         "homepage_link": "https://rocm.docs.amd.com",
-        "repo_tags": [
-            "documentation"
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+        "repo_tag": "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",
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         "category": "compiler"
     },
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         "repo_description": "Profile how CUDA applications create and modify data in memory.",
-        "homepage_link": "",
-        "repo_tags": [],
         "category": "profiler"
     },
     {
@@ -410,18 +205,7 @@
         "repo_name": "hatchet",
         "repo_description": "Graph-indexed Pandas DataFrames for analyzing hierarchical performance data",
         "homepage_link": "https://llnl-hatchet.readthedocs.io",
-        "repo_tags": [
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-            "data-analytics",
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-            "hierarchical-data",
-            "hpc",
-            "performance",
-            "performance-analysis",
-            "python",
-            "radiuss",
-            "trees"
-        ],
+        "repo_tag": "performance",
         "category": "profiler"
     },
     {
@@ -429,19 +213,13 @@
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         "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"
-        ]
+        "repo_tag": "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": [],
         "category": "model compiler"
     },
     {
@@ -449,27 +227,13 @@
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         "repo_description": "Efficient Triton Kernels for LLM Training",
         "homepage_link": "https://openreview.net/pdf?id=36SjAIT42G",
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-            "gemma2",
-            "hacktoberfest",
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-            "llama3",
-            "llm-training",
-            "llms",
-            "mistral",
-            "phi3",
-            "triton",
-            "triton-kernels"
-        ],
+        "repo_tag": "triton",
         "category": "kernels"
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     {
         "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": [],
         "category": "benchmark"
     },
     {
@@ -477,28 +241,14 @@
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         "repo_description": "TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels",
         "homepage_link": "https://meta-pytorch.org/tritonparse/",
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-            "debugging",
-            "gpu-kernel",
-            "interactive-visualization",
-            "ir-analysis",
-            "ir-visualization",
-            "pytorch",
-            "structured-logging",
-            "triton"
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+        "repo_tag": "triton"
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     {
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         "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"
-        ],
+        "repo_tag": "search-engine",
         "category": "search engine"
     },
     {
@@ -506,61 +256,26 @@
         "repo_name": "kubernetes",
         "repo_description": "Production-Grade Container Scheduling and Management",
         "homepage_link": "https://kubernetes.io",
-        "repo_tags": [
-            "cncf",
-            "containers",
-            "go",
-            "kubernetes"
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+        "repo_tag": "containers"
     },
     {
         "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": []
+        "homepage_link": "https://modelcontextprotocol.io"
     },
     {
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-            "ai",
-            "ai-agents",
-            "llm",
-            "llms",
-            "mcp",
-            "model-context-protocol",
-            "python"
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+        "repo_tag": "ai-agents"
     },
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         "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",
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-            "rag",
-            "vector-database",
-            "vector-search",
-            "vector-similarity",
-            "vector-store"
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+        "repo_tag": "vector-search",
         "category": "vector databse"
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@@ -568,29 +283,19 @@
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-        "repo_tags": [
-            "high-dimensional-vectors",
-            "nearest-neighbor-search",
-            "quantization"
-        ]
+        "repo_tag": "nearest-neighbor-search"
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         "repo_name": "airtable.js",
-        "repo_description": "Airtable javascript client",
-        "homepage_link": null,
-        "repo_tags": []
+        "repo_description": "Airtable javascript client"
     },
     {
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         "repo_name": "mistral-inference",
         "repo_description": "Official inference library for Mistral models",
         "homepage_link": "https://mistral.ai/",
-        "repo_tags": [
-            "llm",
-            "llm-inference",
-            "mistralai"
-        ],
+        "repo_tag": "llm-inference",
         "category": "inference engine"
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     {
@@ -622,10 +327,7 @@
         "repo_name": "numpy",
         "repo_description": "The fundamental package for scientific computing with Python.",
         "homepage_link": "https://numpy.org",
-        "repo_tags": [
-            "numpy",
-            "python"
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+        "repo_tag": "python",
         "category": "python library"
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     {
@@ -633,13 +335,7 @@
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-            "closember",
-            "python",
-            "scientific-computing",
-            "scipy"
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+        "repo_tag": "python",
         "category": "python library"
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     {
@@ -647,108 +343,51 @@
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-            "cuda",
-            "llvm",
-            "numba",
-            "numpy",
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-            "python"
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+        "repo_tag": "compiler"
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         "repo_description": "Dendrites for PyTorch and SNNTorch neural networks ",
-        "homepage_link": "",
-        "repo_tags": [
-            "scr-3078"
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+        "repo_tag": "scr-3078",
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