Datasets:

TylerHilbert
/

PyTorchConference2025_GithubRepos

github_repo_link stringlengths 27 60	repo_name stringlengths 2 29	repo_description stringlengths 10 159 ⌀	homepage_link stringlengths 0 87 ⌀	repo_tag stringlengths 3 23 ⌀	category stringclasses 13 values	repo_tags listlengths 3 20 ⌀
https://github.com/pytorch/pytorch	pytorch	Tensors and Dynamic neural networks in Python with strong GPU acceleration	https://pytorch.org	machine-learning	machine learning framework	null
https://github.com/ggml-org/llama.cpp	llama.cpp	LLM inference in C/C++	null	ggml	inference engine	null
https://github.com/onnx/onnx	onnx	Open standard for machine learning interoperability	https://onnx.ai/	deep-learning	null	null
https://github.com/ray-project/ray	ray	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	deep-learning	null	null
https://github.com/vllm-project/vllm	vllm	A high-throughput and memory-efficient inference and serving engine for LLMs	https://docs.vllm.ai	inference	inference engine	null
https://github.com/ollama/ollama	ollama	Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.	https://ollama.com	llms	inference engine	null
https://github.com/sgl-project/sglang	sglang	SGLang is a fast serving framework for large language models and vision language models.	https://docs.sglang.ai/	inference	inference engine	null
https://github.com/modular/modular	modular	The Modular Platform (includes MAX & Mojo)	https://docs.modular.com/	mojo	null	null
https://github.com/pytorch/ao	ao	PyTorch native quantization and sparsity for training and inference	https://pytorch.org/ao/stable/index.html	quantization	null	null
https://github.com/triton-lang/triton	triton	Development repository for the Triton language and compiler	https://triton-lang.org/	null	dsl	null
https://github.com/HazyResearch/ThunderKittens	ThunderKittens	Tile primitives for speedy kernels	null	null	null	null
https://github.com/gpu-mode/reference-kernels	reference-kernels	Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!	https://gpumode.com	gpu	kernels	null
https://github.com/pytorch/executorch	executorch	On-device AI across mobile, embedded and edge for PyTorch	https://executorch.ai	mobile	model compiler	null
https://github.com/guandeh17/Self-Forcing	Self-Forcing	Official codebase for "Self Forcing: Bridging Training and Inference in Autoregressive Video Diffusion" (NeurIPS 2025 Spotlight)	null	null	null	null
https://github.com/cumulo-autumn/StreamDiffusion	StreamDiffusion	StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation	null	null	null	null
https://github.com/comfyanonymous/ComfyUI	ComfyUI	The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.	https://www.comfy.org/	stable-diffusion	null	null
https://github.com/Jeff-LiangF/streamv2v	streamv2v	Official Pytorch implementation of StreamV2V.	https://jeff-liangf.github.io/projects/streamv2v/	null	null	null
https://github.com/letta-ai/letta	letta	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	null	null
https://github.com/jupyterlab/jupyterlab	jupyterlab	JupyterLab computational environment.	https://jupyterlab.readthedocs.io/	jupyter	ui	null
https://github.com/ROCm/rocm-systems	rocm-systems	super repo for rocm systems projects	null	null	null	null
https://github.com/NVIDIA/cutlass	cutlass	CUDA Templates and Python DSLs for High-Performance Linear Algebra	https://docs.nvidia.com/cutlass/index.html	cuda	null	null
https://github.com/pytorch/helion	helion	A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.	null	null	dsl	null
https://github.com/jax-ml/jax	jax	Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more	https://docs.jax.dev	jax	null	null
https://github.com/tensorflow/tensorflow	tensorflow	An Open Source Machine Learning Framework for Everyone	https://tensorflow.org	deep-learning	machine learning framework	null
https://github.com/deepspeedai/DeepSpeed	DeepSpeed	DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.	https://www.deepspeed.ai/	gpu	null	null
https://github.com/triton-inference-server/server	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	null	null
https://github.com/ROCm/ROCm	ROCm	AMD ROCm™ Software - GitHub Home	https://rocm.docs.amd.com	documentation	null	null
https://github.com/llvm/llvm-project	llvm-project	The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.	http://llvm.org	null	compiler	null
https://github.com/cwpearson/cupti	cupti	Profile how CUDA applications create and modify data in memory.	null	null	profiler	null
https://github.com/LLNL/hatchet	hatchet	Graph-indexed Pandas DataFrames for analyzing hierarchical performance data	https://llnl-hatchet.readthedocs.io	performance	profiler	null
https://github.com/toyaix/triton-runner	triton-runner	Multi-Level Triton Runner supporting Python, IR, PTX, and cubin.	https://triton-runner.org	triton	null	null
https://github.com/ByteDance-Seed/Triton-distributed	Triton-distributed	Distributed Compiler based on Triton for Parallel Systems	https://triton-distributed.readthedocs.io/en/latest/	null	model compiler	null
https://github.com/linkedin/Liger-Kernel	Liger-Kernel	Efficient Triton Kernels for LLM Training	https://openreview.net/pdf?id=36SjAIT42G	triton	kernels	null
https://github.com/thunlp/TritonBench	TritonBench	TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators	null	null	benchmark	null
https://github.com/meta-pytorch/tritonparse	tritonparse	TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels	https://meta-pytorch.org/tritonparse/	triton	null	null
https://github.com/elastic/elasticsearch	elasticsearch	Free and Open Source, Distributed, RESTful Search Engine	https://www.elastic.co/products/elasticsearch	search-engine	search engine	null
https://github.com/kubernetes/kubernetes	kubernetes	Production-Grade Container Scheduling and Management	https://kubernetes.io	containers	null	null
https://github.com/modelcontextprotocol/modelcontextprotocol	modelcontextprotocol	Specification and documentation for the Model Context Protocol	https://modelcontextprotocol.io	null	null	null
https://github.com/lastmile-ai/mcp-agent	mcp-agent	Build effective agents using Model Context Protocol and simple workflow patterns	null	ai-agents	null	null
https://github.com/milvus-io/milvus	milvus	Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search	https://milvus.io	vector-search	vector databse	null
https://github.com/gaoj0017/RaBitQ	RaBitQ	[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	null	null
https://github.com/Airtable/airtable.js	airtable.js	Airtable javascript client	null	null	null	null
https://github.com/mistralai/mistral-inference	mistral-inference	Official inference library for Mistral models	https://mistral.ai/	llm-inference	inference engine	null
https://github.com/dstackai/dstack	dstack	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	null	null	[ "amd", "cloud", "containers", "docker", "fine-tuning", "gpu", "inference", "k8s", "kubernetes", "llms", "machine-learning", "nvidia", "orchestration", "python", "slurm", "training" ]
https://github.com/numpy/numpy	numpy	The fundamental package for scientific computing with Python.	https://numpy.org	python	python library	null
https://github.com/scipy/scipy	scipy	SciPy library main repository	https://scipy.org	python	python library	null
https://github.com/numba/numba	numba	NumPy aware dynamic Python compiler using LLVM	https://numba.pydata.org/	compiler	null	null
https://github.com/sandialabs/torchdendrite	torchdendrite	Dendrites for PyTorch and SNNTorch neural networks	null	scr-3078	machine learning framework	null
https://github.com/Lightning-AI/lightning-thunder	lightning-thunder	PyTorch compiler that accelerates training and inference. Get built-in optimizations for performance, memory, parallelism, and easily write your own.	null	null	null	null
https://github.com/pytorch/torchdynamo	torchdynamo	A Python-level JIT compiler designed to make unmodified PyTorch programs faster.	null	null	null	null
https://github.com/microsoft/TileIR	TileIR	null	null	null	dsl	null
https://github.com/pytorch/torchtitan	torchtitan	A PyTorch native platform for training generative AI models	null	null	null	null
https://github.com/NVIDIA/cudnn-frontend	cudnn-frontend	cudnn_frontend provides a c++ wrapper for the cudnn backend API and samples on how to use it	null	null	null	null
https://github.com/pytorch/ort	ort	Accelerate PyTorch models with ONNX Runtime	null	null	null	null
https://github.com/NVIDIA/nccl	nccl	Optimized primitives for collective multi-GPU communication	https://docs.nvidia.com/deeplearning/nccl/user-guide/docs/index.html	cuda	null	null
https://github.com/sgl-project/ome	ome	OME is a Kubernetes operator for enterprise-grade management and serving of Large Language Models (LLMs)	http://docs.sglang.ai/ome/	null	null	[ "deepseek", "k8s", "kimi-k2", "llama", "llm", "llm-inference", "model-as-a-service", "model-serving", "multi-node-kubernetes", "oracle-cloud", "sgalng", "sglang" ]
https://github.com/volcengine/verl	verl	verl: Volcano Engine Reinforcement Learning for LLMs	https://verl.readthedocs.io/en/latest/index.html	null	null	null
https://github.com/aws-neuron/neuronx-distributed-inference	neuronx-distributed-inference	null	null	null	inference engine	null
https://github.com/meta-pytorch/monarch	monarch	PyTorch Single Controller	https://meta-pytorch.org/monarch	null	null	null
https://github.com/ai-dynamo/nixl	nixl	NVIDIA Inference Xfer Library (NIXL)	null	null	null	null
https://github.com/LMCache/LMCache	LMCache	Supercharge Your LLM with the Fastest KV Cache Layer	https://lmcache.ai/	inference	null	null
https://github.com/linux-rdma/rdma-core	rdma-core	RDMA core userspace libraries and daemons	null	null	null	[ "infiniband", "iwarp", "kernel-rdma-drivers", "linux-kernel", "rdma", "roce", "userspace-libraries" ]
https://github.com/NVIDIA/TensorRT	TensorRT	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	inference	null	null
https://github.com/Cambridge-ICCS/FTorch	FTorch	A library for directly calling PyTorch ML models from Fortran.	https://cambridge-iccs.github.io/FTorch/	deep-learning	null	null
https://github.com/facebook/hhvm	hhvm	A virtual machine for executing programs written in Hack.	https://hhvm.com	hack	null	null
https://github.com/vosen/ZLUDA	ZLUDA	CUDA on non-NVIDIA GPUs	https://vosen.github.io/ZLUDA/	cuda	null	null
https://github.com/vtsynergy/CU2CL	CU2CL	A prototype CUDA-to-OpenCL source-to-source translator, built on the Clang compiler framework	http://chrec.cs.vt.edu/cu2cl	null	null	null
https://github.com/pocl/pocl	pocl	pocl - Portable Computing Language	https://portablecl.org	opencl	null	null
https://github.com/apache/spark	spark	Apache Spark - A unified analytics engine for large-scale data processing	https://spark.apache.org/	big-data	null	null
https://github.com/codelion/openevolve	openevolve	Open-source implementation of AlphaEvolve		null	null	[ "alpha-evolve", "alphacode", "alphaevolve", "coding-agent", "deepmind", "deepmind-lab", "discovery", "distributed-evolutionary-algorithms", "evolutionary-algorithms", "evolutionary-computation", "genetic-algorithm", "genetic-algorithms", "iterative-methods", "iterative-refinement", "llm-engineering", "llm-ensemble", "llm-inference", "openevolve", "optimize" ]
https://github.com/ROCm/hipBLAS	hipBLAS	[DEPRECATED] Moved to ROCm/rocm-libraries repo	https://github.com/ROCm/rocm-libraries	hip	null	null
https://github.com/ROCm/roctracer	roctracer	[DEPRECATED] Moved to ROCm/rocm-systems repo	https://github.com/ROCm/rocm-systems	null	null	null
https://github.com/huggingface/peft	peft	🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.	https://huggingface.co/docs/peft	null	null	[ "adapter", "diffusion", "fine-tuning", "llm", "lora", "parameter-efficient-learning", "peft", "python", "pytorch", "transformers" ]
https://github.com/ROCm/hip	hip	HIP: C++ Heterogeneous-Compute Interface for Portability	https://rocmdocs.amd.com/projects/HIP/	hip	null	null
https://github.com/ROCm/composable_kernel	composable_kernel	Composable Kernel: Performance Portable Programming Model for Machine Learning Tensor Operators	https://rocm.docs.amd.com/projects/composable_kernel/en/latest/	null	null	null
https://github.com/ROCm/aiter	aiter	AI Tensor Engine for ROCm	null	null	null	null
https://github.com/AMDResearch/intelliperf	intelliperf	Automated bottleneck detection and solution orchestration	null	null	null	[ "amd", "genai", "gpu", "hip", "instinct", "llm", "performance", "rocm" ]
https://github.com/AMD-AGI/GEAK-agent	GEAK-agent	It is an LLM-based AI agent, which can write correct and efficient gpu kernels automatically.	null	null	null	null
https://github.com/AMD-AGI/torchtitan	torchtitan	A PyTorch native platform for training generative AI models	null	null	null	null
https://github.com/AMD-AGI/hipBLASLt	hipBLASLt	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/en/latest/index.html	null	null	null
https://github.com/AMD-AGI/rocm-torchtitan	rocm-torchtitan	null	null	null	null	null
https://github.com/HazyResearch/Megakernels	Megakernels	kernels, of the mega variety	null	null	null	null
https://github.com/huggingface/kernels	kernels	Load compute kernels from the Hub	null	null	kernels	null
https://github.com/tile-ai/tilelang	tilelang	Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels	https://tilelang.com/	null	dsl	null
https://github.com/opencv/opencv	opencv	Open Source Computer Vision Library	https://opencv.org	image-processing	null	null
https://github.com/Lightning-AI/lightning-thunder	lightning-thunder	PyTorch compiler that accelerates training and inference. Get built-in optimizations for performance, memory, parallelism, and easily write your own.	null	null	null	null
https://github.com/tracel-ai/burn	burn	Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.	https://burn.dev	null	null	[ "autodiff", "cross-platform", "cuda", "deep-learning", "kernel-fusion", "machine-learning", "metal", "ndarray", "neural-network", "onnx", "pytorch", "rocm", "rust", "scientific-computing", "tensor", "vulkan", "wasm", "webgpu" ]
https://github.com/huggingface/kernels-community	kernels-community	Kernel sources for https://huggingface.co/kernels-community	null	null	kernels	null
https://github.com/flashinfer-ai/flashinfer-bench	flashinfer-bench	Building the Virtuous Cycle for AI-driven LLM Systems	https://bench.flashinfer.ai	null	benchmark	null
https://github.com/OSC/ondemand	ondemand	Supercomputing. Seamlessly. Open, Interactive HPC Via the Web	https://openondemand.org/	null	null	[ "gateway", "hacktoberfest", "hpc", "hpc-applications" ]
https://github.com/flashinfer-ai/flashinfer	flashinfer	FlashInfer: Kernel Library for LLM Serving	https://flashinfer.ai	null	null	[ "attention", "cuda", "distributed-inference", "gpu", "jit", "large-large-models", "llm-inference", "moe", "nvidia", "pytorch" ]
https://github.com/ScalingIntelligence/KernelBench	KernelBench	KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems	https://scalingintelligence.stanford.edu/blogs/kernelbench/	benchmark	benchmark	null
https://github.com/thunlp/TritonBench	TritonBench	TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators	null	null	benchmark	null
https://github.com/AutomataLab/cuJSON	cuJSON	cuJSON: A Highly Parallel JSON Parser for GPUs	null	null	null	null
https://github.com/Netflix/metaflow	metaflow	Build, Manage and Deploy AI/ML Systems	https://metaflow.org	null	null	[ "agents", "ai", "aws", "azure", "cost-optimization", "datascience", "distributed-training", "gcp", "generative-ai", "high-performance-computing", "kubernetes", "llm", "llmops", "machine-learning", "ml", "ml-infrastructure", "ml-platform", "mlops", "model-management", "python" ]
https://github.com/harmonic-ai/IMO2025	IMO2025	null	null	null	null	null
https://github.com/leanprover/lean4	lean4	Lean 4 programming language and theorem prover	https://lean-lang.org	lean	null	null
https://github.com/NVIDIA/warp	warp	A Python framework for accelerated simulation, data generation and spatial computing.	https://nvidia.github.io/warp/	null	null	[ "cuda", "differentiable-programming", "gpu", "gpu-acceleration", "nvidia", "nvidia-warp", "python" ]
https://github.com/NVIDIA/cuda-python	cuda-python	CUDA Python: Performance meets Productivity	https://nvidia.github.io/cuda-python/	null	null	null
https://github.com/basetenlabs/truss	truss	The simplest way to serve AI/ML models in production	https://truss.baseten.co	null	null	[ "artificial-intelligence", "easy-to-use", "falcon", "inference-api", "inference-server", "machine-learning", "model-serving", "open-source", "packaging", "stable-diffusion", "whisper", "wizardlm" ]