eddlEuropean 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-vulkanCAIN, Channel Attention Is All You Need for Video Frame Interpolation implemented with ncnn library
aws-virtual-gpu-device-pluginAWS virtual gpu device plugin provides capability to use smaller virtual gpus for your machine learning inference workloads
Curl NoiseImplementation of curl noise for particles simulated on GPU with OpenGL
OBNIObjet Bruité Non Identifié - Unity displacement shader
InstantDLInstantDL: An easy and convenient deep learning pipeline for image segmentation and classification
BetterVanillaGeneratorThis plugin not only provides better terrain generators for Nukkit, you can also customize your world by modifying the configuration.
vdpau-va-driver-vp9Experimental VP9 codec support for vdpau-va-driver (NVIDIA VDPAU-VAAPI wrapper) and chromium-vaapi
gpufetchSimple yet fancy GPU architecture fetching tool
GOMCGOMC - GPU Optimized Monte Carlo is a parallel molecular simulation code designed for high-performance simulation of large systems
vs-mlrtEfficient ML Filter Runtimes for VapourSynth (with built-in support for waifu2x, DPIR, RealESRGANv2, and Real-CUGAN)
PuzzleLibDeep Learning framework with NVIDIA & AMD support
Hetero-MarkA Benchmark Suite for Heterogeneous System Computation
darknetDarknet on OpenCL Convolutional Neural Networks on OpenCL on Intel & NVidia & AMD & Mali GPUs for macOS & GNU/Linux
GVProfGVProf: A Value Profiler for GPU-based Clusters
model analyzerTriton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models.
HSARuntime.jlJulia interface to the HSA runtime, for supporting AMD GPUs
pystellaA code generator for grid-based PDE solving on CPUs and GPUs
pymdeMinimum-distortion embedding with PyTorch
RayTracingRealtime GPU Path tracer based on OpenCL and OpenGL
pathtracer-webgl2Path 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-coreCPU and GPU deterministic and therefore fully reproducible machine learning pipelines using MLflow.
vestaGPU state check script.
qe-gpuGPU-accelerated Quantum ESPRESSO using CUDA FORTRAN
FoldsCUDA.jlData-parallelism on CUDA using Transducers.jl and for loops (FLoops.jl)
GPU-Kubernetes-GuideHow to setup a production-grade Kubernetes GPU cluster on Paperspace in 10 minutes for $10
OmniSci.jlJulia client for OmniSci GPU-accelerated SQL engine and analytics platform
CuVecUnifying Python/C++/CUDA memory: Python buffered array ↔️ `std::vector` ↔️ CUDA managed memory
gblastnG-BLASTN is a GPU-accelerated nucleotide alignment tool based on the widely used NCBI-BLAST.
nv2a-traceA tracing software like apitrace for the original Xbox GPU
Protobuf-DreamerA tiled DeepDream project for creating any size of image, on both CPU and GPU
cs paintVulkan rendering library for graphics and text
nano-vanityA NANO vanity address generator (supports OpenCL)
caffe exampleinstall script and example for clCaffe which will run caffe by OpenCL (this is for https://github.com/01org/caffe/tree/inference-optimize)
monkey-masterA deno tool for buying hot GPUs in JD, such as RTX3080 rx6800, a thick-skinned orange!
watsorObject detection for video surveillance
GooFitCode repository for the massively-parallel framework for maximum-likelihood fits, implemented in CUDA/OpenMP
tensorflow-buildsTensorflow binaries and Docker images compiled with GPU support and CPU optimizations.
MEGADOCKAn ultra-high-performance protein-protein docking for heterogeneous supercomputers
detect-gpuClassifies GPUs based on their 3D rendering benchmark score allowing the developer to provide sensible default settings for graphically intensive applications.
GPGPUSmall library for running arbitrary computations on the GPU, using JavaScript or WebAssembly.
TartanTartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite
gpumembenchA GPU benchmark suite for assessing on-chip GPU memory bandwidth
Batch-FirstA 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.
BMInfEfficient Inference for Big Models
snarkyedGPU rendered text editor written in Rust