Commit
·
d413412
1
Parent(s):
e21714c
Renamed github_topic_closest_fit
Browse files
PyTorchConference2025_GithubRepos.json
CHANGED
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@@ -4,7 +4,7 @@
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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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{
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@@ -12,7 +12,7 @@
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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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@@ -20,7 +20,7 @@
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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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@@ -28,14 +28,14 @@
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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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"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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@@ -68,14 +68,14 @@
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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/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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@@ -88,7 +88,7 @@
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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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@@ -96,21 +96,21 @@
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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/jax-ml/jax",
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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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"github_repo_link": "https://github.com/llvm/llvm-project",
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@@ -124,14 +124,14 @@
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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/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/AMD-AGI/GEAK-agent",
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@@ -143,14 +143,14 @@
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"repo_name": "goose",
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"repo_description": "an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM",
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"homepage_link": "https://block.github.io/goose/",
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"
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"category": "agent"
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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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"
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},
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{
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"github_repo_link": "https://github.com/volcengine/verl",
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@@ -163,7 +163,7 @@
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"repo_name": "peft",
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"repo_description": "🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.",
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"homepage_link": "https://huggingface.co/docs/peft",
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"
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},
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{
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"github_repo_link": "https://github.com/Dao-AILab/quack",
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@@ -175,34 +175,34 @@
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"github_repo_link": "https://github.com/AMDResearch/intelliperf",
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"repo_name": "intelliperf",
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"repo_description": "Automated bottleneck detection and solution orchestration",
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"
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},
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{
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"github_repo_link": "https://github.com/letta-ai/letta",
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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/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/modular/modular",
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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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"github_repo_link": "https://github.com/ScalingIntelligence/KernelBench",
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"repo_name": "KernelBench",
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"repo_description": "KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems",
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"homepage_link": "https://scalingintelligence.stanford.edu/blogs/kernelbench/",
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"
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"category": "benchmark"
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},
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{
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@@ -230,7 +230,7 @@
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"repo_name": "SWE-bench",
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"repo_description": "SWE-bench: Can Language Models Resolve Real-world Github Issues?",
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"homepage_link": "https://www.swebench.com",
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"
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"category": "benchmark"
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},
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{
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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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@@ -246,7 +246,7 @@
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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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"repo_name": "unsloth",
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"repo_description": "Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.",
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"homepage_link": "https://docs.unsloth.ai/",
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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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"repo_name": "hip",
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"repo_description": "HIP: C++ Heterogeneous-Compute Interface for Portability",
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"homepage_link": "https://rocmdocs.amd.com/projects/HIP/",
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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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"github_repo_link": "https://github.com/ROCm/omnitrace",
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"repo_name": "omnitrace",
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"repo_description": "Omnitrace: Application Profiling, Tracing, and Analysis",
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"homepage_link": "https://rocm.docs.amd.com/projects/omnitrace/en/docs-6.2.4/",
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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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"github_repo_link": "https://github.com/cwpearson/cupti",
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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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"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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"github_repo_link": "https://github.com/ByteDance-Seed/Triton-distributed",
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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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"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/Lightning-AI/lightning-thunder",
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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/ai-dynamo/nixl",
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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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"github_repo_link": "https://github.com/Jeff-LiangF/streamv2v",
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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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"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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"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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"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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"github_repo_link": "https://github.com/modelcontextprotocol/modelcontextprotocol",
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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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"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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"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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{
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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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{
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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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{
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"github_repo_link": "https://github.com/aws-neuron/neuronx-distributed-inference",
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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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},
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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",
|
| 562 |
"repo_description": "A virtual machine for executing programs written in Hack.",
|
| 563 |
"homepage_link": "https://hhvm.com",
|
| 564 |
-
"
|
| 565 |
},
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| 566 |
{
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| 567 |
"github_repo_link": "https://github.com/apache/spark",
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"repo_name": "spark",
|
| 569 |
"repo_description": "Apache Spark - A unified analytics engine for large-scale data processing",
|
| 570 |
"homepage_link": "https://spark.apache.org/",
|
| 571 |
-
"
|
| 572 |
},
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| 573 |
{
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| 574 |
"github_repo_link": "https://github.com/ROCm/composable_kernel",
|
|
@@ -606,7 +606,7 @@
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|
| 606 |
"repo_name": "opencv",
|
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"repo_description": "Open Source Computer Vision Library",
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"homepage_link": "https://opencv.org",
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-
"
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},
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{
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"github_repo_link": "https://github.com/Lightning-AI/lightning-thunder",
|
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@@ -618,21 +618,21 @@
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| 618 |
"repo_name": "burn",
|
| 619 |
"repo_description": "Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.",
|
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"homepage_link": "https://burn.dev",
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-
"
|
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},
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| 623 |
{
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"github_repo_link": "https://github.com/OSC/ondemand",
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| 625 |
"repo_name": "ondemand",
|
| 626 |
"repo_description": "Supercomputing. Seamlessly. Open, Interactive HPC Via the Web",
|
| 627 |
"homepage_link": "https://openondemand.org/",
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-
"
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},
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{
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"github_repo_link": "https://github.com/flashinfer-ai/flashinfer",
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"repo_name": "flashinfer",
|
| 633 |
"repo_description": "FlashInfer: Kernel Library for LLM Serving",
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"homepage_link": "https://flashinfer.ai",
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-
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|
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},
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{
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"github_repo_link": "https://github.com/AutomataLab/cuJSON",
|
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@@ -644,7 +644,7 @@
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| 644 |
"repo_name": "metaflow",
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"repo_description": "Build, Manage and Deploy AI/ML Systems",
|
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"homepage_link": "https://metaflow.org",
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-
"
|
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},
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{
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"github_repo_link": "https://github.com/harmonic-ai/IMO2025",
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@@ -655,14 +655,14 @@
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| 655 |
"repo_name": "lean4",
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| 656 |
"repo_description": "Lean 4 programming language and theorem prover",
|
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"homepage_link": "https://lean-lang.org",
|
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-
"
|
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},
|
| 660 |
{
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"github_repo_link": "https://github.com/NVIDIA/warp",
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"repo_name": "warp",
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| 663 |
"repo_description": "A Python framework for accelerated simulation, data generation and spatial computing.",
|
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"homepage_link": "https://nvidia.github.io/warp/",
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-
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|
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},
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{
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"github_repo_link": "https://github.com/NVIDIA/cuda-python",
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@@ -675,14 +675,14 @@
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"repo_name": "truss",
|
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"repo_description": "The simplest way to serve AI/ML models in production",
|
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"homepage_link": "https://truss.baseten.co",
|
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-
"
|
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},
|
| 680 |
{
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"github_repo_link": "https://github.com/kvcache-ai/Mooncake",
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| 682 |
"repo_name": "Mooncake",
|
| 683 |
"repo_description": "Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.",
|
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"homepage_link": "https://kvcache-ai.github.io/Mooncake/",
|
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-
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|
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},
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{
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"github_repo_link": "https://github.com/KhronosGroup/SYCL-Docs",
|
|
@@ -693,14 +693,14 @@
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"github_repo_link": "https://github.com/triSYCL/triSYCL",
|
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"repo_name": "triSYCL",
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| 695 |
"repo_description": " Generic system-wide modern C++ for heterogeneous platforms with SYCL from Khronos Group",
|
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-
"
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},
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{
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"github_repo_link": "https://github.com/pybind/pybind11",
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"repo_name": "pybind11",
|
| 701 |
"repo_description": "Seamless operability between C++11 and Python",
|
| 702 |
"homepage_link": "https://pybind11.readthedocs.io/",
|
| 703 |
-
"
|
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},
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| 705 |
{
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"github_repo_link": "https://github.com/andreinechaev/nvcc4jupyter",
|
|
@@ -712,14 +712,14 @@
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|
| 712 |
"github_repo_link": "https://github.com/Reference-LAPACK/lapack",
|
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"repo_name": "lapack",
|
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"repo_description": "LAPACK development repository",
|
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-
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},
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| 717 |
{
|
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"github_repo_link": "https://github.com/ccache/ccache",
|
| 719 |
"repo_name": "ccache",
|
| 720 |
"repo_description": "ccache – a fast compiler cache",
|
| 721 |
"homepage_link": "https://ccache.dev",
|
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-
"
|
| 723 |
"category": "compiler"
|
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},
|
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{
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|
@@ -732,7 +732,7 @@
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| 732 |
"repo_name": "synthetic-data-kit",
|
| 733 |
"repo_description": "Tool for generating high quality Synthetic datasets",
|
| 734 |
"homepage_link": "https://pypi.org/project/synthetic-data-kit/",
|
| 735 |
-
"
|
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},
|
| 737 |
{
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"github_repo_link": "https://github.com/KhronosGroup/Vulkan-Docs",
|
|
@@ -749,7 +749,7 @@
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|
| 749 |
"repo_name": "Wan2.2",
|
| 750 |
"repo_description": "Wan: Open and Advanced Large-Scale Video Generative Models",
|
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"homepage_link": "https://wan.video",
|
| 752 |
-
"
|
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},
|
| 754 |
{
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"github_repo_link": "https://github.com/AMD-AGI/Primus-Turbo",
|
|
@@ -760,7 +760,7 @@
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|
| 760 |
"repo_name": "hipBLAS",
|
| 761 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo",
|
| 762 |
"homepage_link": "https://github.com/ROCm/rocm-libraries",
|
| 763 |
-
"
|
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},
|
| 765 |
{
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"github_repo_link": "https://github.com/ROCm/roctracer",
|
|
@@ -773,21 +773,21 @@
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|
| 773 |
"repo_name": "rocSOLVER",
|
| 774 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo",
|
| 775 |
"homepage_link": "https://github.com/ROCm/rocm-libraries",
|
| 776 |
-
"
|
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},
|
| 778 |
{
|
| 779 |
"github_repo_link": "https://github.com/ROCm/Tensile",
|
| 780 |
"repo_name": "Tensile",
|
| 781 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo",
|
| 782 |
"homepage_link": "https://github.com/ROCm/rocm-libraries",
|
| 783 |
-
"
|
| 784 |
},
|
| 785 |
{
|
| 786 |
"github_repo_link": "https://github.com/ROCm/rocPRIM",
|
| 787 |
"repo_name": "rocPRIM",
|
| 788 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo ",
|
| 789 |
"homepage_link": "https://github.com/ROCm/rocm-libraries",
|
| 790 |
-
"
|
| 791 |
},
|
| 792 |
{
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| 793 |
"github_repo_link": "https://github.com/ROCm/hipCUB",
|
|
@@ -800,7 +800,7 @@
|
|
| 800 |
"repo_name": "rocFFT",
|
| 801 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo",
|
| 802 |
"homepage_link": "https://github.com/ROCm/rocm-libraries",
|
| 803 |
-
"
|
| 804 |
},
|
| 805 |
{
|
| 806 |
"github_repo_link": "https://github.com/ROCm/rocSPARSE",
|
|
@@ -813,7 +813,7 @@
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|
| 813 |
"repo_name": "rocRAND",
|
| 814 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo ",
|
| 815 |
"homepage_link": "https://github.com/ROCm/rocm-libraries",
|
| 816 |
-
"
|
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},
|
| 818 |
{
|
| 819 |
"github_repo_link": "https://github.com/ROCm/MIOpen",
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|
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|
| 4 |
"repo_name": "pytorch",
|
| 5 |
"repo_description": "Tensors and Dynamic neural networks in Python with strong GPU acceleration",
|
| 6 |
"homepage_link": "https://pytorch.org",
|
| 7 |
+
"github_topic_closest_fit": "machine-learning",
|
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"category": "machine learning framework"
|
| 9 |
},
|
| 10 |
{
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| 12 |
"repo_name": "vllm",
|
| 13 |
"repo_description": "A high-throughput and memory-efficient inference and serving engine for LLMs",
|
| 14 |
"homepage_link": "https://docs.vllm.ai",
|
| 15 |
+
"github_topic_closest_fit": "inference",
|
| 16 |
"category": "inference engine"
|
| 17 |
},
|
| 18 |
{
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| 20 |
"repo_name": "ollama",
|
| 21 |
"repo_description": "Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.",
|
| 22 |
"homepage_link": "https://ollama.com",
|
| 23 |
+
"github_topic_closest_fit": "llms",
|
| 24 |
"category": "inference engine"
|
| 25 |
},
|
| 26 |
{
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|
| 28 |
"repo_name": "sglang",
|
| 29 |
"repo_description": "SGLang is a fast serving framework for large language models and vision language models.",
|
| 30 |
"homepage_link": "https://docs.sglang.ai/",
|
| 31 |
+
"github_topic_closest_fit": "inference",
|
| 32 |
"category": "inference engine"
|
| 33 |
},
|
| 34 |
{
|
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"github_repo_link": "https://github.com/ggml-org/llama.cpp",
|
| 36 |
"repo_name": "llama.cpp",
|
| 37 |
"repo_description": "LLM inference in C/C++",
|
| 38 |
+
"github_topic_closest_fit": "ggml",
|
| 39 |
"category": "inference engine"
|
| 40 |
},
|
| 41 |
{
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|
| 68 |
"repo_name": "cutlass",
|
| 69 |
"repo_description": "CUDA Templates and Python DSLs for High-Performance Linear Algebra",
|
| 70 |
"homepage_link": "https://docs.nvidia.com/cutlass/index.html",
|
| 71 |
+
"github_topic_closest_fit": "cuda"
|
| 72 |
},
|
| 73 |
{
|
| 74 |
"github_repo_link": "https://github.com/tensorflow/tensorflow",
|
| 75 |
"repo_name": "tensorflow",
|
| 76 |
"repo_description": "An Open Source Machine Learning Framework for Everyone",
|
| 77 |
"homepage_link": "https://tensorflow.org",
|
| 78 |
+
"github_topic_closest_fit": "deep-learning",
|
| 79 |
"category": "machine learning framework"
|
| 80 |
},
|
| 81 |
{
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|
| 88 |
"repo_name": "executorch",
|
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"repo_description": "On-device AI across mobile, embedded and edge for PyTorch",
|
| 90 |
"homepage_link": "https://executorch.ai",
|
| 91 |
+
"github_topic_closest_fit": "mobile",
|
| 92 |
"category": "model compiler"
|
| 93 |
},
|
| 94 |
{
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| 96 |
"repo_name": "onnx",
|
| 97 |
"repo_description": "Open standard for machine learning interoperability",
|
| 98 |
"homepage_link": "https://onnx.ai/",
|
| 99 |
+
"github_topic_closest_fit": "deep-learning"
|
| 100 |
},
|
| 101 |
{
|
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"github_repo_link": "https://github.com/ray-project/ray",
|
| 103 |
"repo_name": "ray",
|
| 104 |
"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.",
|
| 105 |
"homepage_link": "https://ray.io",
|
| 106 |
+
"github_topic_closest_fit": "deep-learning"
|
| 107 |
},
|
| 108 |
{
|
| 109 |
"github_repo_link": "https://github.com/jax-ml/jax",
|
| 110 |
"repo_name": "jax",
|
| 111 |
"repo_description": "Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more",
|
| 112 |
"homepage_link": "https://docs.jax.dev",
|
| 113 |
+
"github_topic_closest_fit": "jax"
|
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},
|
| 115 |
{
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| 116 |
"github_repo_link": "https://github.com/llvm/llvm-project",
|
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| 124 |
"repo_name": "TensorRT",
|
| 125 |
"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.",
|
| 126 |
"homepage_link": "https://developer.nvidia.com/tensorrt",
|
| 127 |
+
"github_topic_closest_fit": "inference"
|
| 128 |
},
|
| 129 |
{
|
| 130 |
"github_repo_link": "https://github.com/pytorch/ao",
|
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"repo_name": "ao",
|
| 132 |
"repo_description": "PyTorch native quantization and sparsity for training and inference",
|
| 133 |
"homepage_link": "https://pytorch.org/ao/stable/index.html",
|
| 134 |
+
"github_topic_closest_fit": "quantization"
|
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},
|
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{
|
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"github_repo_link": "https://github.com/AMD-AGI/GEAK-agent",
|
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| 143 |
"repo_name": "goose",
|
| 144 |
"repo_description": "an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM",
|
| 145 |
"homepage_link": "https://block.github.io/goose/",
|
| 146 |
+
"github_topic_closest_fit": "mcp",
|
| 147 |
"category": "agent"
|
| 148 |
},
|
| 149 |
{
|
| 150 |
"github_repo_link": "https://github.com/codelion/openevolve",
|
| 151 |
"repo_name": "openevolve",
|
| 152 |
"repo_description": "Open-source implementation of AlphaEvolve",
|
| 153 |
+
"github_topic_closest_fit": "genetic-algorithm"
|
| 154 |
},
|
| 155 |
{
|
| 156 |
"github_repo_link": "https://github.com/volcengine/verl",
|
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| 163 |
"repo_name": "peft",
|
| 164 |
"repo_description": "🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.",
|
| 165 |
"homepage_link": "https://huggingface.co/docs/peft",
|
| 166 |
+
"github_topic_closest_fit": "lora"
|
| 167 |
},
|
| 168 |
{
|
| 169 |
"github_repo_link": "https://github.com/Dao-AILab/quack",
|
|
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| 175 |
"github_repo_link": "https://github.com/AMDResearch/intelliperf",
|
| 176 |
"repo_name": "intelliperf",
|
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"repo_description": "Automated bottleneck detection and solution orchestration",
|
| 178 |
+
"github_topic_closest_fit": "performance"
|
| 179 |
},
|
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{
|
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"github_repo_link": "https://github.com/letta-ai/letta",
|
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"repo_name": "letta",
|
| 183 |
"repo_description": "Letta is the platform for building stateful agents: open AI with advanced memory that can learn and self-improve over time.",
|
| 184 |
"homepage_link": "https://docs.letta.com/",
|
| 185 |
+
"github_topic_closest_fit": "ai-agents"
|
| 186 |
},
|
| 187 |
{
|
| 188 |
"github_repo_link": "https://github.com/lastmile-ai/mcp-agent",
|
| 189 |
"repo_name": "mcp-agent",
|
| 190 |
"repo_description": "Build effective agents using Model Context Protocol and simple workflow patterns",
|
| 191 |
+
"github_topic_closest_fit": "ai-agents"
|
| 192 |
},
|
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{
|
| 194 |
"github_repo_link": "https://github.com/modular/modular",
|
| 195 |
"repo_name": "modular",
|
| 196 |
"repo_description": "The Modular Platform (includes MAX & Mojo)",
|
| 197 |
"homepage_link": "https://docs.modular.com/",
|
| 198 |
+
"github_topic_closest_fit": "mojo"
|
| 199 |
},
|
| 200 |
{
|
| 201 |
"github_repo_link": "https://github.com/ScalingIntelligence/KernelBench",
|
| 202 |
"repo_name": "KernelBench",
|
| 203 |
"repo_description": "KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems",
|
| 204 |
"homepage_link": "https://scalingintelligence.stanford.edu/blogs/kernelbench/",
|
| 205 |
+
"github_topic_closest_fit": "benchmark",
|
| 206 |
"category": "benchmark"
|
| 207 |
},
|
| 208 |
{
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|
| 230 |
"repo_name": "SWE-bench",
|
| 231 |
"repo_description": "SWE-bench: Can Language Models Resolve Real-world Github Issues?",
|
| 232 |
"homepage_link": "https://www.swebench.com",
|
| 233 |
+
"github_topic_closest_fit": "benchmark",
|
| 234 |
"category": "benchmark"
|
| 235 |
},
|
| 236 |
{
|
|
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|
| 238 |
"repo_name": "reference-kernels",
|
| 239 |
"repo_description": "Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!",
|
| 240 |
"homepage_link": "https://gpumode.com",
|
| 241 |
+
"github_topic_closest_fit": "gpu",
|
| 242 |
"category": "kernels"
|
| 243 |
},
|
| 244 |
{
|
|
|
|
| 246 |
"repo_name": "Liger-Kernel",
|
| 247 |
"repo_description": "Efficient Triton Kernels for LLM Training",
|
| 248 |
"homepage_link": "https://openreview.net/pdf?id=36SjAIT42G",
|
| 249 |
+
"github_topic_closest_fit": "triton",
|
| 250 |
"category": "kernels"
|
| 251 |
},
|
| 252 |
{
|
|
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|
| 266 |
"repo_name": "unsloth",
|
| 267 |
"repo_description": "Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.",
|
| 268 |
"homepage_link": "https://docs.unsloth.ai/",
|
| 269 |
+
"github_topic_closest_fit": "unsloth"
|
| 270 |
},
|
| 271 |
{
|
| 272 |
"github_repo_link": "https://github.com/jupyterlab/jupyterlab",
|
| 273 |
"repo_name": "jupyterlab",
|
| 274 |
"repo_description": "JupyterLab computational environment.",
|
| 275 |
"homepage_link": "https://jupyterlab.readthedocs.io/",
|
| 276 |
+
"github_topic_closest_fit": "jupyter",
|
| 277 |
"category": "ui"
|
| 278 |
},
|
| 279 |
{
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|
| 286 |
"repo_name": "hip",
|
| 287 |
"repo_description": "HIP: C++ Heterogeneous-Compute Interface for Portability",
|
| 288 |
"homepage_link": "https://rocmdocs.amd.com/projects/HIP/",
|
| 289 |
+
"github_topic_closest_fit": "hip"
|
| 290 |
},
|
| 291 |
{
|
| 292 |
"github_repo_link": "https://github.com/ROCm/ROCm",
|
| 293 |
"repo_name": "ROCm",
|
| 294 |
"repo_description": "AMD ROCm™ Software - GitHub Home",
|
| 295 |
"homepage_link": "https://rocm.docs.amd.com",
|
| 296 |
+
"github_topic_closest_fit": "documentation"
|
| 297 |
},
|
| 298 |
{
|
| 299 |
"github_repo_link": "https://github.com/ROCm/omnitrace",
|
| 300 |
"repo_name": "omnitrace",
|
| 301 |
"repo_description": "Omnitrace: Application Profiling, Tracing, and Analysis",
|
| 302 |
"homepage_link": "https://rocm.docs.amd.com/projects/omnitrace/en/docs-6.2.4/",
|
| 303 |
+
"github_topic_closest_fit": "performance-analysis"
|
| 304 |
},
|
| 305 |
{
|
| 306 |
"github_repo_link": "https://github.com/vosen/ZLUDA",
|
| 307 |
"repo_name": "ZLUDA",
|
| 308 |
"repo_description": "CUDA on non-NVIDIA GPUs",
|
| 309 |
"homepage_link": "https://vosen.github.io/ZLUDA/",
|
| 310 |
+
"github_topic_closest_fit": "cuda"
|
| 311 |
},
|
| 312 |
{
|
| 313 |
"github_repo_link": "https://github.com/vtsynergy/CU2CL",
|
|
|
|
| 320 |
"repo_name": "pocl",
|
| 321 |
"repo_description": "pocl - Portable Computing Language",
|
| 322 |
"homepage_link": "https://portablecl.org",
|
| 323 |
+
"github_topic_closest_fit": "opencl"
|
| 324 |
},
|
| 325 |
{
|
| 326 |
"github_repo_link": "https://github.com/cwpearson/cupti",
|
|
|
|
| 333 |
"repo_name": "hatchet",
|
| 334 |
"repo_description": "Graph-indexed Pandas DataFrames for analyzing hierarchical performance data",
|
| 335 |
"homepage_link": "https://llnl-hatchet.readthedocs.io",
|
| 336 |
+
"github_topic_closest_fit": "performance",
|
| 337 |
"category": "profiler"
|
| 338 |
},
|
| 339 |
{
|
|
|
|
| 341 |
"repo_name": "triton-runner",
|
| 342 |
"repo_description": "Multi-Level Triton Runner supporting Python, IR, PTX, and cubin.",
|
| 343 |
"homepage_link": "https://triton-runner.org",
|
| 344 |
+
"github_topic_closest_fit": "triton"
|
| 345 |
},
|
| 346 |
{
|
| 347 |
"github_repo_link": "https://github.com/ByteDance-Seed/Triton-distributed",
|
|
|
|
| 355 |
"repo_name": "tritonparse",
|
| 356 |
"repo_description": "TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels",
|
| 357 |
"homepage_link": "https://meta-pytorch.org/tritonparse/",
|
| 358 |
+
"github_topic_closest_fit": "triton"
|
| 359 |
},
|
| 360 |
{
|
| 361 |
"github_repo_link": "https://github.com/numpy/numpy",
|
| 362 |
"repo_name": "numpy",
|
| 363 |
"repo_description": "The fundamental package for scientific computing with Python.",
|
| 364 |
"homepage_link": "https://numpy.org",
|
| 365 |
+
"github_topic_closest_fit": "python",
|
| 366 |
"category": "python library"
|
| 367 |
},
|
| 368 |
{
|
|
|
|
| 370 |
"repo_name": "scipy",
|
| 371 |
"repo_description": "SciPy library main repository",
|
| 372 |
"homepage_link": "https://scipy.org",
|
| 373 |
+
"github_topic_closest_fit": "python",
|
| 374 |
"category": "python library"
|
| 375 |
},
|
| 376 |
{
|
|
|
|
| 378 |
"repo_name": "numba",
|
| 379 |
"repo_description": "NumPy aware dynamic Python compiler using LLVM",
|
| 380 |
"homepage_link": "https://numba.pydata.org/",
|
| 381 |
+
"github_topic_closest_fit": "compiler"
|
| 382 |
},
|
| 383 |
{
|
| 384 |
"github_repo_link": "https://github.com/Lightning-AI/lightning-thunder",
|
|
|
|
| 395 |
"repo_name": "nccl",
|
| 396 |
"repo_description": "Optimized primitives for collective multi-GPU communication",
|
| 397 |
"homepage_link": "https://docs.nvidia.com/deeplearning/nccl/user-guide/docs/index.html",
|
| 398 |
+
"github_topic_closest_fit": "cuda"
|
| 399 |
},
|
| 400 |
{
|
| 401 |
"github_repo_link": "https://github.com/ai-dynamo/nixl",
|
|
|
|
| 418 |
"repo_name": "ComfyUI",
|
| 419 |
"repo_description": "The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.",
|
| 420 |
"homepage_link": "https://www.comfy.org/",
|
| 421 |
+
"github_topic_closest_fit": "stable-diffusion"
|
| 422 |
},
|
| 423 |
{
|
| 424 |
"github_repo_link": "https://github.com/Jeff-LiangF/streamv2v",
|
|
|
|
| 431 |
"repo_name": "DeepSpeed",
|
| 432 |
"repo_description": "DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.",
|
| 433 |
"homepage_link": "https://www.deepspeed.ai/",
|
| 434 |
+
"github_topic_closest_fit": "gpu"
|
| 435 |
},
|
| 436 |
{
|
| 437 |
"github_repo_link": "https://github.com/triton-inference-server/server",
|
| 438 |
"repo_name": "server",
|
| 439 |
"repo_description": "The Triton Inference Server provides an optimized cloud and edge inferencing solution. ",
|
| 440 |
"homepage_link": "https://docs.nvidia.com/deeplearning/triton-inference-server/user-guide/docs/index.html",
|
| 441 |
+
"github_topic_closest_fit": "inference"
|
| 442 |
},
|
| 443 |
{
|
| 444 |
"github_repo_link": "https://github.com/elastic/elasticsearch",
|
| 445 |
"repo_name": "elasticsearch",
|
| 446 |
"repo_description": "Free and Open Source, Distributed, RESTful Search Engine",
|
| 447 |
"homepage_link": "https://www.elastic.co/products/elasticsearch",
|
| 448 |
+
"github_topic_closest_fit": "search-engine",
|
| 449 |
"category": "search engine"
|
| 450 |
},
|
| 451 |
{
|
|
|
|
| 453 |
"repo_name": "kubernetes",
|
| 454 |
"repo_description": "Production-Grade Container Scheduling and Management",
|
| 455 |
"homepage_link": "https://kubernetes.io",
|
| 456 |
+
"github_topic_closest_fit": "containers"
|
| 457 |
},
|
| 458 |
{
|
| 459 |
"github_repo_link": "https://github.com/modelcontextprotocol/modelcontextprotocol",
|
|
|
|
| 466 |
"repo_name": "milvus",
|
| 467 |
"repo_description": "Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search",
|
| 468 |
"homepage_link": "https://milvus.io",
|
| 469 |
+
"github_topic_closest_fit": "vector-search",
|
| 470 |
"category": "vector databse"
|
| 471 |
},
|
| 472 |
{
|
|
|
|
| 474 |
"repo_name": "RaBitQ",
|
| 475 |
"repo_description": "[SIGMOD 2024] RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search",
|
| 476 |
"homepage_link": "https://github.com/VectorDB-NTU/RaBitQ-Library",
|
| 477 |
+
"github_topic_closest_fit": "nearest-neighbor-search"
|
| 478 |
},
|
| 479 |
{
|
| 480 |
"github_repo_link": "https://github.com/Airtable/airtable.js",
|
|
|
|
| 486 |
"repo_name": "mistral-inference",
|
| 487 |
"repo_description": "Official inference library for Mistral models",
|
| 488 |
"homepage_link": "https://mistral.ai/",
|
| 489 |
+
"github_topic_closest_fit": "llm-inference",
|
| 490 |
"category": "inference engine"
|
| 491 |
},
|
| 492 |
{
|
|
|
|
| 494 |
"repo_name": "dstack",
|
| 495 |
"repo_description": "dstack is an open-source control plane for running development, training, and inference jobs on GPUs—across hyperscalers, neoclouds, or on-prem.",
|
| 496 |
"homepage_link": "https://dstack.ai",
|
| 497 |
+
"github_topic_closest_fit": "orchestration"
|
| 498 |
},
|
| 499 |
{
|
| 500 |
"github_repo_link": "https://github.com/sandialabs/torchdendrite",
|
| 501 |
"repo_name": "torchdendrite",
|
| 502 |
"repo_description": "Dendrites for PyTorch and SNNTorch neural networks ",
|
| 503 |
+
"github_topic_closest_fit": "scr-3078",
|
| 504 |
"category": "machine learning framework"
|
| 505 |
},
|
| 506 |
{
|
|
|
|
| 523 |
"repo_name": "ome",
|
| 524 |
"repo_description": "OME is a Kubernetes operator for enterprise-grade management and serving of Large Language Models (LLMs)",
|
| 525 |
"homepage_link": "http://docs.sglang.ai/ome/",
|
| 526 |
+
"github_topic_closest_fit": "k8s"
|
| 527 |
},
|
| 528 |
{
|
| 529 |
"github_repo_link": "https://github.com/aws-neuron/neuronx-distributed-inference",
|
|
|
|
| 541 |
"repo_name": "LMCache",
|
| 542 |
"repo_description": "Supercharge Your LLM with the Fastest KV Cache Layer",
|
| 543 |
"homepage_link": "https://lmcache.ai/",
|
| 544 |
+
"github_topic_closest_fit": "inference"
|
| 545 |
},
|
| 546 |
{
|
| 547 |
"github_repo_link": "https://github.com/linux-rdma/rdma-core",
|
| 548 |
"repo_name": "rdma-core",
|
| 549 |
"repo_description": "RDMA core userspace libraries and daemons",
|
| 550 |
+
"github_topic_closest_fit": "linux-kernel"
|
| 551 |
},
|
| 552 |
{
|
| 553 |
"github_repo_link": "https://github.com/Cambridge-ICCS/FTorch",
|
| 554 |
"repo_name": "FTorch",
|
| 555 |
"repo_description": "A library for directly calling PyTorch ML models from Fortran.",
|
| 556 |
"homepage_link": "https://cambridge-iccs.github.io/FTorch/",
|
| 557 |
+
"github_topic_closest_fit": "deep-learning"
|
| 558 |
},
|
| 559 |
{
|
| 560 |
"github_repo_link": "https://github.com/facebook/hhvm",
|
| 561 |
"repo_name": "hhvm",
|
| 562 |
"repo_description": "A virtual machine for executing programs written in Hack.",
|
| 563 |
"homepage_link": "https://hhvm.com",
|
| 564 |
+
"github_topic_closest_fit": "hack"
|
| 565 |
},
|
| 566 |
{
|
| 567 |
"github_repo_link": "https://github.com/apache/spark",
|
| 568 |
"repo_name": "spark",
|
| 569 |
"repo_description": "Apache Spark - A unified analytics engine for large-scale data processing",
|
| 570 |
"homepage_link": "https://spark.apache.org/",
|
| 571 |
+
"github_topic_closest_fit": "big-data"
|
| 572 |
},
|
| 573 |
{
|
| 574 |
"github_repo_link": "https://github.com/ROCm/composable_kernel",
|
|
|
|
| 606 |
"repo_name": "opencv",
|
| 607 |
"repo_description": "Open Source Computer Vision Library",
|
| 608 |
"homepage_link": "https://opencv.org",
|
| 609 |
+
"github_topic_closest_fit": "image-processing"
|
| 610 |
},
|
| 611 |
{
|
| 612 |
"github_repo_link": "https://github.com/Lightning-AI/lightning-thunder",
|
|
|
|
| 618 |
"repo_name": "burn",
|
| 619 |
"repo_description": "Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.",
|
| 620 |
"homepage_link": "https://burn.dev",
|
| 621 |
+
"github_topic_closest_fit": "machine-learning"
|
| 622 |
},
|
| 623 |
{
|
| 624 |
"github_repo_link": "https://github.com/OSC/ondemand",
|
| 625 |
"repo_name": "ondemand",
|
| 626 |
"repo_description": "Supercomputing. Seamlessly. Open, Interactive HPC Via the Web",
|
| 627 |
"homepage_link": "https://openondemand.org/",
|
| 628 |
+
"github_topic_closest_fit": "hpc"
|
| 629 |
},
|
| 630 |
{
|
| 631 |
"github_repo_link": "https://github.com/flashinfer-ai/flashinfer",
|
| 632 |
"repo_name": "flashinfer",
|
| 633 |
"repo_description": "FlashInfer: Kernel Library for LLM Serving",
|
| 634 |
"homepage_link": "https://flashinfer.ai",
|
| 635 |
+
"github_topic_closest_fit": "attention"
|
| 636 |
},
|
| 637 |
{
|
| 638 |
"github_repo_link": "https://github.com/AutomataLab/cuJSON",
|
|
|
|
| 644 |
"repo_name": "metaflow",
|
| 645 |
"repo_description": "Build, Manage and Deploy AI/ML Systems",
|
| 646 |
"homepage_link": "https://metaflow.org",
|
| 647 |
+
"github_topic_closest_fit": "machine-learning"
|
| 648 |
},
|
| 649 |
{
|
| 650 |
"github_repo_link": "https://github.com/harmonic-ai/IMO2025",
|
|
|
|
| 655 |
"repo_name": "lean4",
|
| 656 |
"repo_description": "Lean 4 programming language and theorem prover",
|
| 657 |
"homepage_link": "https://lean-lang.org",
|
| 658 |
+
"github_topic_closest_fit": "lean"
|
| 659 |
},
|
| 660 |
{
|
| 661 |
"github_repo_link": "https://github.com/NVIDIA/warp",
|
| 662 |
"repo_name": "warp",
|
| 663 |
"repo_description": "A Python framework for accelerated simulation, data generation and spatial computing.",
|
| 664 |
"homepage_link": "https://nvidia.github.io/warp/",
|
| 665 |
+
"github_topic_closest_fit": "gpu"
|
| 666 |
},
|
| 667 |
{
|
| 668 |
"github_repo_link": "https://github.com/NVIDIA/cuda-python",
|
|
|
|
| 675 |
"repo_name": "truss",
|
| 676 |
"repo_description": "The simplest way to serve AI/ML models in production",
|
| 677 |
"homepage_link": "https://truss.baseten.co",
|
| 678 |
+
"github_topic_closest_fit": "machine-learning"
|
| 679 |
},
|
| 680 |
{
|
| 681 |
"github_repo_link": "https://github.com/kvcache-ai/Mooncake",
|
| 682 |
"repo_name": "Mooncake",
|
| 683 |
"repo_description": "Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.",
|
| 684 |
"homepage_link": "https://kvcache-ai.github.io/Mooncake/",
|
| 685 |
+
"github_topic_closest_fit": "inference"
|
| 686 |
},
|
| 687 |
{
|
| 688 |
"github_repo_link": "https://github.com/KhronosGroup/SYCL-Docs",
|
|
|
|
| 693 |
"github_repo_link": "https://github.com/triSYCL/triSYCL",
|
| 694 |
"repo_name": "triSYCL",
|
| 695 |
"repo_description": " Generic system-wide modern C++ for heterogeneous platforms with SYCL from Khronos Group",
|
| 696 |
+
"github_topic_closest_fit": "opencl"
|
| 697 |
},
|
| 698 |
{
|
| 699 |
"github_repo_link": "https://github.com/pybind/pybind11",
|
| 700 |
"repo_name": "pybind11",
|
| 701 |
"repo_description": "Seamless operability between C++11 and Python",
|
| 702 |
"homepage_link": "https://pybind11.readthedocs.io/",
|
| 703 |
+
"github_topic_closest_fit": "bindings"
|
| 704 |
},
|
| 705 |
{
|
| 706 |
"github_repo_link": "https://github.com/andreinechaev/nvcc4jupyter",
|
|
|
|
| 712 |
"github_repo_link": "https://github.com/Reference-LAPACK/lapack",
|
| 713 |
"repo_name": "lapack",
|
| 714 |
"repo_description": "LAPACK development repository",
|
| 715 |
+
"github_topic_closest_fit": "linear-algebra"
|
| 716 |
},
|
| 717 |
{
|
| 718 |
"github_repo_link": "https://github.com/ccache/ccache",
|
| 719 |
"repo_name": "ccache",
|
| 720 |
"repo_description": "ccache – a fast compiler cache",
|
| 721 |
"homepage_link": "https://ccache.dev",
|
| 722 |
+
"github_topic_closest_fit": "compiler",
|
| 723 |
"category": "compiler"
|
| 724 |
},
|
| 725 |
{
|
|
|
|
| 732 |
"repo_name": "synthetic-data-kit",
|
| 733 |
"repo_description": "Tool for generating high quality Synthetic datasets",
|
| 734 |
"homepage_link": "https://pypi.org/project/synthetic-data-kit/",
|
| 735 |
+
"github_topic_closest_fit": "generation"
|
| 736 |
},
|
| 737 |
{
|
| 738 |
"github_repo_link": "https://github.com/KhronosGroup/Vulkan-Docs",
|
|
|
|
| 749 |
"repo_name": "Wan2.2",
|
| 750 |
"repo_description": "Wan: Open and Advanced Large-Scale Video Generative Models",
|
| 751 |
"homepage_link": "https://wan.video",
|
| 752 |
+
"github_topic_closest_fit": "video-generation"
|
| 753 |
},
|
| 754 |
{
|
| 755 |
"github_repo_link": "https://github.com/AMD-AGI/Primus-Turbo",
|
|
|
|
| 760 |
"repo_name": "hipBLAS",
|
| 761 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo",
|
| 762 |
"homepage_link": "https://github.com/ROCm/rocm-libraries",
|
| 763 |
+
"github_topic_closest_fit": "hip"
|
| 764 |
},
|
| 765 |
{
|
| 766 |
"github_repo_link": "https://github.com/ROCm/roctracer",
|
|
|
|
| 773 |
"repo_name": "rocSOLVER",
|
| 774 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo",
|
| 775 |
"homepage_link": "https://github.com/ROCm/rocm-libraries",
|
| 776 |
+
"github_topic_closest_fit": "rocm"
|
| 777 |
},
|
| 778 |
{
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| 779 |
"github_repo_link": "https://github.com/ROCm/Tensile",
|
| 780 |
"repo_name": "Tensile",
|
| 781 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo",
|
| 782 |
"homepage_link": "https://github.com/ROCm/rocm-libraries",
|
| 783 |
+
"github_topic_closest_fit": "gpu"
|
| 784 |
},
|
| 785 |
{
|
| 786 |
"github_repo_link": "https://github.com/ROCm/rocPRIM",
|
| 787 |
"repo_name": "rocPRIM",
|
| 788 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo ",
|
| 789 |
"homepage_link": "https://github.com/ROCm/rocm-libraries",
|
| 790 |
+
"github_topic_closest_fit": "hip"
|
| 791 |
},
|
| 792 |
{
|
| 793 |
"github_repo_link": "https://github.com/ROCm/hipCUB",
|
|
|
|
| 800 |
"repo_name": "rocFFT",
|
| 801 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo",
|
| 802 |
"homepage_link": "https://github.com/ROCm/rocm-libraries",
|
| 803 |
+
"github_topic_closest_fit": "hip"
|
| 804 |
},
|
| 805 |
{
|
| 806 |
"github_repo_link": "https://github.com/ROCm/rocSPARSE",
|
|
|
|
| 813 |
"repo_name": "rocRAND",
|
| 814 |
"repo_description": "[DEPRECATED] Moved to ROCm/rocm-libraries repo ",
|
| 815 |
"homepage_link": "https://github.com/ROCm/rocm-libraries",
|
| 816 |
+
"github_topic_closest_fit": "hip"
|
| 817 |
},
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| 818 |
{
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| 819 |
"github_repo_link": "https://github.com/ROCm/MIOpen",
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