Top 626 gpu open source projects

eddl
European Distributed Deep Learning (EDDL) library. A general-purpose library initially developed to cover deep learning needs in healthcare use cases within the DeepHealth project.
cain-ncnn-vulkan
CAIN, Channel Attention Is All You Need for Video Frame Interpolation implemented with ncnn library
research-computing-with-cpp
UCL-RITS *C++ for Research* engineering course
aws-virtual-gpu-device-plugin
AWS virtual gpu device plugin provides capability to use smaller virtual gpus for your machine learning inference workloads
Curl Noise
Implementation of curl noise for particles simulated on GPU with OpenGL
OBNI
Objet Bruité Non Identifié - Unity displacement shader
InstantDL
InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification
BetterVanillaGenerator
This plugin not only provides better terrain generators for Nukkit, you can also customize your world by modifying the configuration.
vdpau-va-driver-vp9
Experimental VP9 codec support for vdpau-va-driver (NVIDIA VDPAU-VAAPI wrapper) and chromium-vaapi
gpufetch
Simple yet fancy GPU architecture fetching tool
GOMC
GOMC - GPU Optimized Monte Carlo is a parallel molecular simulation code designed for high-performance simulation of large systems
LEDs-single-gpu-passthrough
Single GPU passthrough guide 单显卡直通教程资源
vs-mlrt
Efficient ML Filter Runtimes for VapourSynth (with built-in support for waifu2x, DPIR, RealESRGANv2, and Real-CUGAN)
Hetero-Mark
A Benchmark Suite for Heterogeneous System Computation
darknet
Darknet on OpenCL Convolutional Neural Networks on OpenCL on Intel & NVidia & AMD & Mali GPUs for macOS & GNU/Linux
model analyzer
Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models.
HSARuntime.jl
Julia interface to the HSA runtime, for supporting AMD GPUs
RayTracing
Realtime GPU Path tracer based on OpenCL and OpenGL
pathtracer-webgl2
Path tracing render engine for the web. Both ray tracing for conventional 3d models and ray marching for fractals implemented. Built with WebGL 2 and Angular 2.
mlf-core
CPU and GPU deterministic and therefore fully reproducible machine learning pipelines using MLflow.
DIY-Deep-Learning-Workstation
Build a deep learning workstation from scratch (HW & SW).
FoldsCUDA.jl
Data-parallelism on CUDA using Transducers.jl and for loops (FLoops.jl)
OmniSci.jl
Julia client for OmniSci GPU-accelerated SQL engine and analytics platform
khiva-python
Python binding for Khiva library.
CuVec
Unifying Python/C++/CUDA memory: Python buffered array ↔️ `std::vector` ↔️ CUDA managed memory
gblastn
G-BLASTN is a GPU-accelerated nucleotide alignment tool based on the widely used NCBI-BLAST.
nv2a-trace
A tracing software like apitrace for the original Xbox GPU
cs paint
Vulkan rendering library for graphics and text
nano-vanity
A NANO vanity address generator (supports OpenCL)
caffe example
install script and example for clCaffe which will run caffe by OpenCL (this is for https://github.com/01org/caffe/tree/inference-optimize)
monkey-master
A deno tool for buying hot GPUs in JD, such as RTX3080 rx6800, a thick-skinned orange!
GooFit
Code repository for the massively-parallel framework for maximum-likelihood fits, implemented in CUDA/OpenMP
tensorflow-builds
Tensorflow binaries and Docker images compiled with GPU support and CPU optimizations.
MEGADOCK
An ultra-high-performance protein-protein docking for heterogeneous supercomputers
detect-gpu
Classifies GPUs based on their 3D rendering benchmark score allowing the developer to provide sensible default settings for graphically intensive applications.
GPGPU
Small library for running arbitrary computations on the GPU, using JavaScript or WebAssembly.
Tartan
Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite
gpumembench
A GPU benchmark suite for assessing on-chip GPU memory bandwidth
python-opencv-gpu-video
GPU accelerated video processing on OpenCV with Python.
Batch-First
A JIT compiled chess engine which traverses the search tree in batches in a best-first manner, allowing for neural network batching, asynchronous GPU use, and vectorized CPU computations.
BMInf
Efficient Inference for Big Models
snarkyed
GPU rendered text editor written in Rust
421-480 of 626 gpu projects