Datasets:

TylerHilbert
/

PyTorchConference2025_GithubRepos

repo_name stringlengths 2 22	repo_link stringlengths 28 60	category stringlengths 3 39 ⌀	github_about_section stringlengths 22 415	homepage_link stringlengths 14 89 ⌀	github_topic_closest_fit stringlengths 3 28 ⌀	contributors_all int64 2 7.04k ⌀	contributors_2025 int64 0 2.38k ⌀	contributors_2024 int64 0 2.13k ⌀	contributors_2023 int64 0 1.92k ⌀
llvm-project	https://github.com/llvm/llvm-project	compiler	The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.	http://llvm.org	compiler	7,043	2,378	2,130	1,920
vllm	https://github.com/vllm-project/vllm	inference engine	A high-throughput and memory-efficient inference and serving engine for LLMs	https://docs.vllm.ai	inference	2,302	1,369	579	145
pytorch	https://github.com/pytorch/pytorch	machine learning framework	Tensors and Dynamic neural networks in Python with strong GPU acceleration	https://pytorch.org	machine-learning	5,662	1,187	1,090	1,024
transformers	https://github.com/huggingface/transformers	multi-purpose library	Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.	https://huggingface.co/transformers	machine-learning	3,728	860	769	758
sglang	https://github.com/sgl-project/sglang	inference engine	SGLang is a fast serving framework for large language models and vision language models.	https://docs.sglang.ai	inference	1,229	796	189	1
hhvm	https://github.com/facebook/hhvm	virtual machine	A virtual machine for executing programs written in Hack.	https://hhvm.com	virtual-machine	2,773	692	648	604
llama.cpp	https://github.com/ggml-org/llama.cpp	inference engine	LLM inference in C/C++	https://ggml.ai	inference	1,540	535	575	461
kubernetes	https://github.com/kubernetes/kubernetes	container orchestration	Production-Grade Container Scheduling and Management	https://kubernetes.io	kubernetes	5,157	541	499	565
tensorflow	https://github.com/tensorflow/tensorflow	machine learning framework	An Open Source Machine Learning Framework for Everyone	https://tensorflow.org	machine-learning	4,672	506	523	630
verl	https://github.com/volcengine/verl	reinforcement learning	verl: Volcano Engine Reinforcement Learning for LLMs	https://verl.readthedocs.io	deep-reinforcement-learning	567	454	10	0
rocm-systems	https://github.com/ROCm/rocm-systems	multi-purpose library	super repo for rocm systems projects	https://amd.com/en/products/software/rocm.html	amd	1,142	486	351	213
ray	https://github.com/ray-project/ray	multi-purpose library	Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.	https://ray.io	machine-learning	1,458	397	223	230
spark	https://github.com/apache/spark	data processing	Apache Spark - A unified analytics engine for large-scale data processing	https://spark.apache.org	data-processing	3,129	322	300	336
goose	https://github.com/block/goose	agent	an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM	https://block.github.io/goose	ai-agents	417	319	32	0
elasticsearch	https://github.com/elastic/elasticsearch	search engine	Free and Open Source, Distributed, RESTful Search Engine	https://elastic.co/products/elasticsearch	search-engine	2,337	316	284	270
jax	https://github.com/jax-ml/jax	scientific computing	Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more	https://docs.jax.dev	scientific-computing	1,033	316	280	202
modelcontextprotocol	https://github.com/modelcontextprotocol/modelcontextprotocol	mcp	Specification and documentation for the Model Context Protocol	https://modelcontextprotocol.io	mcp	361	301	42	0
executorch	https://github.com/pytorch/executorch	model compiler	On-device AI across mobile, embedded and edge for PyTorch	https://executorch.ai	inference	493	267	243	77
numpy	https://github.com/numpy/numpy	scientific computing	The fundamental package for scientific computing with Python.	https://numpy.org	scientific-computing	2,210	237	233	252
triton	https://github.com/triton-lang/triton	parallel computing dsl	Development repository for the Triton language and compiler	https://triton-lang.org	parallel-programming	558	233	206	159
modular	https://github.com/modular/modular	parallel computing	The Modular Platform (includes MAX & Mojo)	https://docs.modular.com	parallel-programming	418	222	205	99
scipy	https://github.com/scipy/scipy	scientific computing	SciPy library main repository	https://scipy.org	scientific-computing	2,008	213	251	245
ollama	https://github.com/ollama/ollama	inference engine	Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.	https://ollama.com	inference	596	202	314	97
trl	https://github.com/huggingface/trl	reinforcement learning	Train transformer language models with reinforcement learning.	http://hf.co/docs/trl	reinforcement-learning	472	189	154	122
flashinfer	https://github.com/flashinfer-ai/flashinfer	gpu kernels	FlashInfer: Kernel Library for LLM Serving	https://flashinfer.ai	attention	259	158	50	11
aiter	https://github.com/ROCm/aiter	gpu kernels	AI Tensor Engine for ROCm	https://rocm.blogs.amd.com/software-tools-optimization/aiter-ai-tensor-engine/README.html	null	216	145	10	0
LMCache	https://github.com/LMCache/LMCache	inference	Supercharge Your LLM with the Fastest KV Cache Layer	https://lmcache.ai	null	174	144	18	0
Mooncake	https://github.com/kvcache-ai/Mooncake	inference	Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.	https://kvcache-ai.github.io/Mooncake	inference	188	133	13	0
torchtitan	https://github.com/pytorch/torchtitan	training framework	A PyTorch native platform for training generative AI models	https://arxiv.org/abs/2410.06511	null	181	119	43	1
ao	https://github.com/pytorch/ao	quantization	PyTorch native quantization and sparsity for training and inference	https://pytorch.org/ao	quantization	211	114	100	5
ComfyUI	https://github.com/comfyanonymous/ComfyUI	user interface	The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.	https://comfy.org	stable-diffusion	309	108	119	94
unsloth	https://github.com/unslothai/unsloth	fine tuning	Fine-tuning & Reinforcement Learning for LLMs. Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.	https://docs.unsloth.ai	fine-tuning	175	108	29	3
accelerate	https://github.com/huggingface/accelerate	training framework	A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support.	https://huggingface.co/docs/accelerate	null	410	97	124	149
terminal-bench	https://github.com/laude-institute/terminal-bench	benchmark	A benchmark for LLMs on complicated tasks in the terminal	https://tbench.ai	benchmark	96	96	0	0
DeepSpeed	https://github.com/deepspeedai/DeepSpeed	training framework	DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.	https://deepspeed.ai	null	458	96	134	165
milvus	https://github.com/milvus-io/milvus	vector database	Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search	https://milvus.io	vector-search	398	95	84	72
cutlass	https://github.com/NVIDIA/cutlass	parallel computing	CUDA Templates and Python DSLs for High-Performance Linear Algebra	https://docs.nvidia.com/cutlass/index.html	parallel-programming	264	94	64	66
tilelang	https://github.com/tile-ai/tilelang	parallel computing dsl	Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels	https://tilelang.com	parallel-programming	117	89	1	0
monarch	https://github.com/meta-pytorch/monarch	distributed computing	PyTorch Single Controller	https://meta-pytorch.org/monarch	null	101	85	0	0
Liger-Kernel	https://github.com/linkedin/Liger-Kernel	kernel examples	Efficient Triton Kernels for LLM Training	https://openreview.net/pdf?id=36SjAIT42G	triton	138	78	61	0
hipBLASLt	https://github.com/AMD-AGI/hipBLASLt	Basic Linear Algebra Subprograms (BLAS)	hipBLASLt is a library that provides general matrix-matrix operations with a flexible API and extends functionalities beyond a traditional BLAS library	https://rocm.docs.amd.com/projects/hipBLASLt	matrix-multiplication	111	69	70	35
peft	https://github.com/huggingface/peft	fine tuning	PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.	https://huggingface.co/docs/peft	null	286	69	111	115
ROCm	https://github.com/ROCm/ROCm	multi-purpose library	AMD ROCm Software - GitHub Home	https://rocm.docs.amd.com	null	167	67	61	44
mcp-agent	https://github.com/lastmile-ai/mcp-agent	mcp	Build effective agents using Model Context Protocol and simple workflow patterns	null	mcp	64	63	1	0
onnx	https://github.com/onnx/onnx	machine learning interoperability	Open standard for machine learning interoperability	https://onnx.ai	onnx	380	56	45	61
letta	https://github.com/letta-ai/letta	agent	Letta is the platform for building stateful agents: open AI with advanced memory that can learn and self-improve over time.	https://docs.letta.com	ai-agents	159	57	75	47
helion	https://github.com/pytorch/helion	parallel computing dsl	A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.	https://helionlang.com	parallel-programming	66	49	0	0
openevolve	https://github.com/codelion/openevolve	evolutionary algorithm	Open-source implementation of AlphaEvolve	null	genetic-algorithm	51	46	0	0
lightning-thunder	https://github.com/Lightning-AI/lightning-thunder	model compiler	PyTorch compiler that accelerates training and inference. Get built-in optimizations for performance, memory, parallelism, and easily write your own.	null	null	79	44	47	29
truss	https://github.com/basetenlabs/truss	inference engine	The simplest way to serve AI/ML models in production	https://truss.baseten.co	inference	84	44	30	21
cuda-python	https://github.com/NVIDIA/cuda-python	middleware	CUDA Python: Performance meets Productivity	https://nvidia.github.io/cuda-python	parallel-programming	54	41	12	1
warp	https://github.com/NVIDIA/warp	spatial computing	A Python framework for accelerated simulation, data generation and spatial computing.	https://nvidia.github.io/warp	physics-simulation	89	40	29	17
metaflow	https://github.com/Netflix/metaflow	container orchestration	Build, Manage and Deploy AI/ML Systems	https://metaflow.org	null	132	37	35	28
numba	https://github.com/numba/numba	compiler	NumPy aware dynamic Python compiler using LLVM	https://numba.pydata.org	null	446	40	32	55
SWE-bench	https://github.com/SWE-bench/SWE-bench	benchmark	SWE-bench: Can Language Models Resolve Real-world Github Issues?	https://swebench.com	benchmark	66	33	37	9
Triton-distributed	https://github.com/ByteDance-Seed/Triton-distributed	distributed computing	Distributed Compiler based on Triton for Parallel Systems	https://triton-distributed.readthedocs.io	null	35	30	0	0
ThunderKittens	https://github.com/HazyResearch/ThunderKittens	parallel computing	Tile primitives for speedy kernels	https://hazyresearch.stanford.edu/blog/2024-10-29-tk2	parallel-programming	37	29	13	0
dstack	https://github.com/dstackai/dstack	container orchestration	dstack is an open-source control plane for running development, training, and inference jobs on GPUs-across hyperscalers, neoclouds, or on-prem.	https://dstack.ai	orchestration	69	28	42	14
ome	https://github.com/sgl-project/ome	container orchestration	OME is a Kubernetes operator for enterprise-grade management and serving of Large Language Models (LLMs)	http://docs.sglang.ai/ome	k8s	31	28	0	0
server	https://github.com/triton-inference-server/server	inference server	The Triton Inference Server provides an optimized cloud and edge inferencing solution.	https://docs.nvidia.com/deeplearning/triton-inference-server/user-guide/docs/index.html	inference	149	24	36	34
ccache	https://github.com/ccache/ccache	compiler	ccache - a fast compiler cache	https://ccache.dev	null	224	20	28	22
lapack	https://github.com/Reference-LAPACK/lapack	linear algebra	LAPACK is a library of Fortran subroutines for solving the most commonly occurring problems in numerical linear algebra.	https://netlib.org/lapack	linear-algebra	187	23	25	42
quack	https://github.com/Dao-AILab/quack	kernel examples	A Quirky Assortment of CuTe Kernels	null	null	31	17	0	0
KernelBench	https://github.com/ScalingIntelligence/KernelBench	benchmark	KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems	https://scalingintelligence.stanford.edu/blogs/kernelbench	benchmark	21	16	3	0
reference-kernels	https://github.com/gpu-mode/reference-kernels	kernel examples	Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!	https://gpumode.com	null	23	16	0	0
synthetic-data-kit	https://github.com/meta-llama/synthetic-data-kit	synthetic data generation	Tool for generating high quality Synthetic datasets	https://pypi.org/project/synthetic-data-kit	synthetic-dataset-generation	15	15	0	0
tritonparse	https://github.com/meta-pytorch/tritonparse	performance testing	TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels	https://meta-pytorch.org/tritonparse	null	26	15	0	0
kernels	https://github.com/huggingface/kernels	gpu kernels	Load compute kernels from the Hub	null	null	23	14	2	0
Wan2.2	https://github.com/Wan-Video/Wan2.2	video generation	Wan: Open and Advanced Large-Scale Video Generative Models	https://wan.video	diffusion-models	16	14	0	0
Primus-Turbo	https://github.com/AMD-AGI/Primus-Turbo	training framework	Primus-Turbo is a high-performance acceleration library dedicated to large-scale model training on AMD GPUs. Built and optimized for the AMD ROCm platform, it covers the full training stack — including core compute operators (GEMM, Attention, GroupedGEMM), communication primitives, optimizer modules, low-precision comp...	null	null	14	12	0	0
flashinfer-bench	https://github.com/flashinfer-ai/flashinfer-bench	benchmark	Building the Virtuous Cycle for AI-driven LLM Systems	https://bench.flashinfer.ai	benchmark	16	11	0	0
FTorch	https://github.com/Cambridge-ICCS/FTorch	middleware	A library for directly calling PyTorch ML models from Fortran.	https://cambridge-iccs.github.io/FTorch	machine-learning	22	12	8	9
TensorRT	https://github.com/NVIDIA/TensorRT	inference engine	NVIDIA TensorRT is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.	https://developer.nvidia.com/tensorrt	null	104	10	18	19
TileIR	https://github.com/microsoft/TileIR	parallel computing dsl	TileIR (tile-ir) is a concise domain-specific IR designed to streamline the development of high-performance GPU/CPU kernels (e.g., GEMM, Dequant GEMM, FlashAttention, LinearAttention). By employing a Pythonic syntax with an underlying compiler infrastructure on top of TVM, TileIR allows developers to focus on productiv...	null	parallel-programming	10	10	1	0
kernels-community	https://github.com/huggingface/kernels-community	gpu kernels	Kernel sources for https://huggingface.co/kernels-community	https://huggingface.co/kernels-community	null	14	9	0	0
GEAK-agent	https://github.com/AMD-AGI/GEAK-agent	agent	It is an LLM-based AI agent, which can write correct and efficient gpu kernels automatically.	null	ai-agents	17	9	0	0
intelliperf	https://github.com/AMDResearch/intelliperf	performance testing	Automated bottleneck detection and solution orchestration	https://arxiv.org/html/2508.20258v1	profiling	7	7	0	0
cudnn-frontend	https://github.com/NVIDIA/cudnn-frontend	parallel computing	cudnn_frontend provides a c++ wrapper for the cudnn backend API and samples on how to use it	https://developer.nvidia.com/cudnn	parallel-programming	14	6	5	1
BitBLAS	https://github.com/microsoft/BitBLAS	Basic Linear Algebra Subprograms (BLAS)	BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.	null	matrix-multiplication	17	5	14	0
Self-Forcing	https://github.com/guandeh17/Self-Forcing	video generation	Official codebase for "Self Forcing: Bridging Training and Inference in Autoregressive Video Diffusion" (NeurIPS 2025 Spotlight)	https://self-forcing.github.io	diffusion-models	4	4	0	0
TritonBench	https://github.com/thunlp/TritonBench	benchmark	TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators	https://arxiv.org/abs/2502.14752	benchmark	3	3	0	0
hatchet	https://github.com/LLNL/hatchet	performance testing	Graph-indexed Pandas DataFrames for analyzing hierarchical performance data	https://llnl-hatchet.readthedocs.io	profiling	25	3	6	8
streamv2v	https://github.com/Jeff-LiangF/streamv2v	video generation	Official Pytorch implementation of StreamV2V.	https://jeff-liangf.github.io/projects/streamv2v	diffusion-models	7	3	6	0
mistral-inference	https://github.com/mistralai/mistral-inference	inference engine	Official inference library for Mistral models	https://mistral.ai	inference	30	2	17	14
omnitrace	https://github.com/ROCm/omnitrace	performance testing	Omnitrace: Application Profiling, Tracing, and Analysis	https://rocm.docs.amd.com/projects/omnitrace	profiling	16	2	12	2
IMO2025	https://github.com/harmonic-ai/IMO2025	formal mathematical reasoning	Harmonic's model Aristotle achieved gold medal performance, solving 5 problems. This repository contains the lean statement files and proofs for Problems 1-5.	https://harmonic.fun	lean	2	2	0	0
RaBitQ	https://github.com/gaoj0017/RaBitQ	quantization	[SIGMOD 2024] RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search	https://github.com/VectorDB-NTU/RaBitQ-Library	nearest-neighbor-search	2	2	1	0
torchdendrite	https://github.com/sandialabs/torchdendrite	machine learning framework	Dendrites for PyTorch and SNNTorch neural networks	null	null	2	1	1	0
triton-runner	https://github.com/toyaix/triton-runner	debugger	Multi-Level Triton Runner supporting Python, IR, PTX, and cubin.	https://triton-runner.org	null	2	1	0	0
triSYCL	https://github.com/triSYCL/triSYCL	parallel computing	Generic system-wide modern C++ for heterogeneous platforms with SYCL from Khronos Group	https://trisycl.github.io/triSYCL/Doxygen/triSYCL/html/index.html	parallel-programming	31	0	1	3
StreamDiffusion	https://github.com/cumulo-autumn/StreamDiffusion	image generation	StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation	https://arxiv.org/abs/2312.12491	diffusion-models	29	0	9	25
wandb	https://github.com/wandb/wandb	ml visualization	The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.	https://wandb.ai	null	235	46	67	62
aws-neuron-sdk	https://github.com/aws-neuron/aws-neuron-sdk	sdk	Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and integrated with your favorite AWS services	https://aws.amazon.com/ai/machine-learning/neuron	null	142	33	37	32
onnxruntime	https://github.com/microsoft/onnxruntime	machine learning interoperability	ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator	https://onnxruntime.ai	null	876	237	213	213
ort	https://github.com/pykeio/ort	machine learning interoperability	Fast ML inference & training for ONNX models in Rust	https://ort.pyke.io	null	70	25	20	21
Triton-distributed	https://github.com/ByteDance-Seed/Triton-distributed	distributed computing	Distributed Compiler based on Triton for Parallel Systems	https://triton-distributed.readthedocs.io	null	35	30	0	0
gemlite	https://github.com/dropbox/gemlite	gpu kernels	Fast low-bit matmul kernels in Triton	null	null	5	1	5	0
cutile-python	https://github.com/NVIDIA/cutile-python	parallel computing	cuTile is a programming model for writing parallel kernels for NVIDIA GPUs	https://docs.nvidia.com/cuda/cutile-python	null	19	10	0	0
tilus	https://github.com/NVIDIA/tilus	parallel computing	Tilus is a tile-level kernel programming language with explicit control over shared memory and registers.	https://nvidia.github.io/tilus	null	6	4	0	0
triton-windows	https://github.com/woct0rdho/triton-windows	parallel computing dsl	Fork of the Triton language and compiler for Windows support and easy installation	null	null	537	233	207	159

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PyTorch Conference 2025 GitHub Repos

I created a list of every GitHub repo mentioned during PyTorch Conference 2025 and Open Source AI Week.

Usage

Script used to update unique contributor count: https://github.com/Tyler-Hilbert/Update_GitHub_Dataset_PyTorchConference2025

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