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
#11neovide/neovide
No Nonsense Neovim Client in Rust
#12pycaret/pycaret
An open-source, low-code machine learning library in Python
#13skypilot-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).
#14rapidsai/cudf
cuDF - GPU DataFrame Library
#15NVIDIA/cutlass
CUDA Templates and Python DSLs for High-Performance Linear Algebra
#16OlafenwaMoses/ImageAI
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
#17catboost/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.
#18flashinfer-ai/flashinfer
FlashInfer: Kernel Library for LLM Serving
#19koharu-rs/koharu
ML-powered manga translator, written in Rust.
#20lemonade-sdk/lemonade
Lemonade helps users discover and run local AI apps by serving optimized LLMs right from their own GPUs and NPUs. Join our discord: https://discord.gg/5xXzkMu8Zk
#21NVIDIA/DALI
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
#22pytorch/executorch
On-device AI across mobile, embedded and edge for PyTorch
#23ultralight-ux/Ultralight
Lightweight, high-performance HTML renderer for game and app developers.
#24ProjectPhysX/FluidX3D
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
#25arrayfire/arrayfire
ArrayFire: a general purpose GPU library.
#26sktime/pytorch-forecasting
Time series forecasting with PyTorch
#27MegEngine/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
#28CliMA/Oceananigans.jl
🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
#29JuliaGPU/CUDA.jl
CUDA programming in Julia.
#30starling-build/starling
Starling — a new Linux desktop environment: Swift shell, its own compositor, a Flutter-to-Swift framework port, and first-party apps
#31brekkylab/ailoy
AI agent builder with a VM at its heart. Every agent gets its own microVM sandbox to install software, run code and use the GPU in. Python, Node.js and Rust.