HemiSimple utilities to enable code reuse and portability between CUDA C/C++ and standard C/C++.
Stars: ✭ 275 (+329.69%)
Qualia2.0Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.
Stars: ✭ 41 (-35.94%)
CudfcuDF - GPU DataFrame Library
Stars: ✭ 4,370 (+6728.13%)
tiny-cuda-nnLightning fast & tiny C++/CUDA neural network framework
Stars: ✭ 908 (+1318.75%)
GgnnGGNN: State of the Art Graph-based GPU Nearest Neighbor Search
Stars: ✭ 63 (-1.56%)
PopsiftPopSift is an implementation of the SIFT algorithm in CUDA.
Stars: ✭ 259 (+304.69%)
Arrayfire PythonPython bindings for ArrayFire: A general purpose GPU library.
Stars: ✭ 358 (+459.38%)
Cuda Api WrappersThin C++-flavored wrappers for the CUDA Runtime API
Stars: ✭ 362 (+465.63%)
HeteroflowConcurrent CPU-GPU Programming using Task Models
Stars: ✭ 57 (-10.94%)
ChainerA flexible framework of neural networks for deep learning
Stars: ✭ 5,656 (+8737.5%)
lbvhan implementation of parallel linear BVH (LBVH) on GPU
Stars: ✭ 67 (+4.69%)
Nvidia libs testTests and benchmarks for cudnn (and in the future, other nvidia libraries)
Stars: ✭ 36 (-43.75%)
QPT[内测中]前向式Python环境快捷封装工具,快速将Python打包为EXE并添加CUDA、NoAVX等支持。
Stars: ✭ 308 (+381.25%)
gpu-monitorScript to remotely check GPU servers for free GPUs
Stars: ✭ 85 (+32.81%)
hipaccA domain-specific language and compiler for image processing
Stars: ✭ 72 (+12.5%)
ThrustThe C++ parallel algorithms library.
Stars: ✭ 3,595 (+5517.19%)
ArrayfireArrayFire: a general purpose GPU library.
Stars: ✭ 3,693 (+5670.31%)
HipsyclImplementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs
Stars: ✭ 377 (+489.06%)
Awesome CudaThis is a list of useful libraries and resources for CUDA development.
Stars: ✭ 274 (+328.13%)
Stdgpustdgpu: Efficient STL-like Data Structures on the GPU
Stars: ✭ 531 (+729.69%)
SpeedtorchLibrary for faster pinned CPU <-> GPU transfer in Pytorch
Stars: ✭ 615 (+860.94%)
CupyNumPy & SciPy for GPU
Stars: ✭ 5,625 (+8689.06%)
NeanderthalFast Clojure Matrix Library
Stars: ✭ 927 (+1348.44%)
GraphviteGraphVite: A General and High-performance Graph Embedding System
Stars: ✭ 865 (+1251.56%)
MatXAn efficient C++17 GPU numerical computing library with Python-like syntax
Stars: ✭ 418 (+553.13%)
CudaExperiments with CUDA and Rust
Stars: ✭ 31 (-51.56%)
warpcontinuous energy monte carlo neutron transport in general geometries on GPUs
Stars: ✭ 27 (-57.81%)
Carlsim3CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.
Stars: ✭ 52 (-18.75%)
PbfVsImplementation of Macklin, Miles, and Matthias Müller. "Position based fluids.". Visual Studio 2015 + CUDA 8.0
Stars: ✭ 100 (+56.25%)
LuisaRenderHigh-Performance Multiple-Backend Renderer Based on LuisaCompute
Stars: ✭ 47 (-26.56%)
opencv-cuda-dockerDockerfiles for OpenCV compiled with CUDA, opencv_contrib modules and Python 3 bindings
Stars: ✭ 55 (-14.06%)
GprmaxgprMax is open source software that simulates electromagnetic wave propagation using the Finite-Difference Time-Domain (FDTD) method for numerical modelling of Ground Penetrating Radar (GPR)
Stars: ✭ 268 (+318.75%)
Fat-CloudsGPU Fluid Simulation with Volumetric Rendering
Stars: ✭ 81 (+26.56%)
Fast gicpA collection of GICP-based fast point cloud registration algorithms
Stars: ✭ 307 (+379.69%)
KomputationKomputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.
Stars: ✭ 295 (+360.94%)
BayaderaHigh-performance Bayesian Data Analysis on the GPU in Clojure
Stars: ✭ 342 (+434.38%)
Deep DiamondA fast Clojure Tensor & Deep Learning library
Stars: ✭ 288 (+350%)
IlgpuILGPU JIT Compiler for high-performance .Net GPU programs
Stars: ✭ 374 (+484.38%)
Cuda.jlCUDA programming in Julia.
Stars: ✭ 370 (+478.13%)
PycudaCUDA integration for Python, plus shiny features
Stars: ✭ 1,112 (+1637.5%)
RustacudaRusty wrapper for the CUDA Driver API
Stars: ✭ 511 (+698.44%)
BitcrackerBitCracker is the first open source password cracking tool for memory units encrypted with BitLocker
Stars: ✭ 463 (+623.44%)
Lighthouse2Lighthouse 2 framework for real-time ray tracing
Stars: ✭ 542 (+746.88%)
CaerHigh-performance Vision library in Python. Scale your research, not boilerplate.
Stars: ✭ 452 (+606.25%)
ThundergbmThunderGBM: Fast GBDTs and Random Forests on GPUs
Stars: ✭ 586 (+815.63%)
CudasiftA CUDA implementation of SIFT for NVidia GPUs (1.2 ms on a GTX 1060)
Stars: ✭ 555 (+767.19%)
GunrockHigh-Performance Graph Primitives on GPUs
Stars: ✭ 718 (+1021.88%)
Open3dOpen3D: A Modern Library for 3D Data Processing
Stars: ✭ 5,860 (+9056.25%)
WheelsPerformance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)
Stars: ✭ 891 (+1292.19%)
Scikit CudaPython interface to GPU-powered libraries
Stars: ✭ 803 (+1154.69%)
PyopenclOpenCL integration for Python, plus shiny features
Stars: ✭ 790 (+1134.38%)
monolishmonolish: MONOlithic LInear equation Solvers for Highly-parallel architecture
Stars: ✭ 166 (+159.38%)
FLAMEGPU2FLAME GPU 2 is a GPU accelerated agent based modelling framework for C++ and Python
Stars: ✭ 25 (-60.94%)
H2o4gpuH2Oai GPU Edition
Stars: ✭ 416 (+550%)
MarianFast Neural Machine Translation in C++
Stars: ✭ 777 (+1114.06%)
CubCooperative primitives for CUDA C++.
Stars: ✭ 883 (+1279.69%)
Tsne CudaGPU Accelerated t-SNE for CUDA with Python bindings
Stars: ✭ 1,120 (+1650%)