Best Open Source gpu Libraries
A curated list of the most popular GitHub repositories tagged with gpu. Select any project to visualize its architecture and dive into the codebase using RepoMind's AI engine.
#1pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
#2alacritty/alacritty
A cross-platform, OpenGL terminal emulator.
#3deepspeedai/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
#4exelban/stats
macOS system monitor in your menu bar
#5taichi-dev/taichi
Productive, portable, and performant GPU programming in Python.
#6fastai/fastai
The fastai deep learning library
#7Rem0o/FanControl.Releases
This is the release repository for Fan Control, a highly customizable fan controlling software for Windows.
#8gfx-rs/wgpu
A cross-platform, safe, pure-Rust graphics API.
#9PavelDoGreat/WebGL-Fluid-Simulation
Play with fluids in your browser (works even on mobile)
#10gpujs/gpu.js
GPU Accelerated JavaScript
#11seerge/g-helper
Lightweight Armoury Crate alternative for Asus laptops with nearly the same functionality. Works with ROG Zephyrus, Flow, TUF, Strix, Scar, ProArt, Vivobook, Zenbook, Expertbook, ROG Ally, and many more.
#12neovide/neovide
No Nonsense Neovim Client in Rust
#13pycaret/pycaret
An open-source, low-code machine learning library in Python
#14skypilot-org/skypilot
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 20+ clouds, or on-prem).
#15rapidsai/cudf
cuDF - GPU DataFrame Library
#16NVIDIA/cutlass
CUDA Templates and Python DSLs for High-Performance Linear Algebra
#17OlafenwaMoses/ImageAI
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
#18catboost/catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
#19ultralight-ux/Ultralight
Lightweight, high-performance HTML renderer for game and app developers.
#20ProjectPhysX/FluidX3D
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
#21arrayfire/arrayfire
ArrayFire: a general purpose GPU library.
#22sktime/pytorch-forecasting
Time series forecasting with PyTorch
#23MegEngine/MegEngine
MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架
#24NVIDIA/cccl
CUDA Core Compute Libraries
#25lupinemachines/lupine
LUPINE is a GPU over IP bridge allowing GPUs on remote machines to be attached to CPU-only machines.
#26dstackai/dstack
Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
#27tenstorrent/tt-metal
:metal: TT-NN operator library, and TT-Metalium low level kernel programming model.
#28NVIDIA/nvcf
Platform for deploying and routing GPU-accelerated inference, streaming, and batch workloads at scale.
#29defilantech/LLMKube
Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.
#30gogpu/wgpu
Pure Go WebGPU Implementation