gpu-computing
There are 999 repositories under gpu-computing topic.
catboost/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.
gyroflow/gyroflow
Video stabilization using gyroscope data
google/tf-quant-finance
High-performance TensorFlow library for quantitative finance.
NVIDIA/thrust
[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
ProjectPhysX/FluidX3D
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
tensorflow/lingvo
Lingvo
microsoft/pai
Resource scheduling and cluster management for AI
KomputeProject/kompute
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
jbush001/NyuziProcessor
GPGPU microprocessor architecture
NVIDIA/cccl
CUDA Core Compute Libraries
inducer/pycuda
CUDA integration for Python, plus shiny features
SciML/SciMLBook
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
coreylowman/dfdx
Deep learning in Rust, with shape checked tensors and neural networks
mikbry/awesome-webgpu
😎 Curated list of awesome things around WebGPU ecosystem.
AdaptiveCpp/AdaptiveCpp
Compiler for multiple programming models (SYCL, C++ standard parallelism, HIP/CUDA) for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!
BindsNET/bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
calebwin/emu
The write-once-run-anywhere GPGPU library for Rust
software-mansion/TypeGPU
A modular and open-ended toolkit for WebGPU, with advanced type inference and the ability to write shaders in TypeScript
mratsim/Arraymancer
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
NVIDIA/MatX
An efficient C++17 GPU numerical computing library with Python-like syntax
beehive-lab/TornadoVM
TornadoVM: A practical and efficient heterogeneous programming framework for managed languages
LuxCoreRender/LuxCore
LuxCore source repository
stotko/stdgpu
stdgpu: Efficient STL-like Data Structures on the GPU
uncomplicate/neanderthal
Fast Clojure Matrix Library
AccelerateHS/accelerate
Embedded language for high-performance array computations
eyalroz/cuda-api-wrappers
Thin, unified, C++-flavored wrappers for the CUDA APIs
LuxCoreRender/BlendLuxCore
Blender Integration for LuxCore
Langhalsdino/Kubernetes-GPU-Guide
This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.
zszazi/Deep-learning-in-cloud
List of Deep Learning Cloud Providers
ComputationalRadiationPhysics/picongpu
Performance-Portable Particle-in-Cell Simulations for the Exascale Era :sparkles:
iot-salzburg/gpu-jupyter
GPU-Jupyter: Your GPU-accelerated JupyterLab with a rich data science toolstack, TensorFlow and PyTorch for your reproducible deep learning experiments.
huiscliu/Tutorials
Parallel programming tutorials
googlefonts/compute-shader-101
Sample code for compute shader 101 training
ccsb-scripps/AutoDock-GPU
AutoDock for GPUs and other accelerators
ginkgo-project/ginkgo
Numerical linear algebra software package
AmesingFlank/taichi.js
Modern GPU Compute and Rendering in Javascript