Top 626 gpu open source projects

Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mining frequent item sets in a set of transactions, implementation in Python.

✭ 36

python data-mining gpu gcc transaction cuda plot transactions gpu-acceleration apriori frequent-itemset-mining data-mining-algorithms frequent-pattern-mining apriori-algorithm frequent-itemsets pycuda gpu-programming eclat eclat-algorithm

ml-testing-accelerators

Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)

✭ 45

Jsonnet python shell Jinja machine-learning gpu tpu testing-accelerators

beatmup

Beatmup: image and signal processing library

✭ 168

C++java GLSL python CMake c Dockerfile android windows linux raspberry-pi opengl gpu signal-processing image-processing opengl-es gpu-computing

euler2d cudaFortran

2nd order Godunov solver for 2d Euler equations written in CUDA Fortran and stdpar (standard paralelism)

✭ 24

fortran Makefile gpu cuda gpu-computing hydrodynamics euler-equations cuda-fortran conservation-laws stdpar nvhpc

gpu-camera-sample

High quality Image Processing software on GPU (Windows, Linux, ARM) for real time machine vision camera applications. Performance benchmarks and Glass-to-Glass time measurements. MIPI CSI cameras support. RAW2RGB processing on GPU.

GoldenSun

A path tracer based on hardware ray tracing

✭ 20

C++CMake HLSL python gpu rendering engine3d gpu-acceleration ray-tracing path-tracing

learn-gpgpu

Algorithms implemented in CUDA + resources about GPGPU

✭ 37

Cuda Jupyter Notebook c C++Makefile gpu opencl parallel-computing cuda image-processing cublas nvidia gpgpu gpu-computing pycuda curand

GPUUtilization

measure GPU hardware utilization on iOS Devices

✭ 102

objective c c Metal ruby ios utility device gpu usage system-monitor iokit utilization gpu-utilization

HIBAG

R package – HLA Genotype Imputation with Attribute Bagging (development version only)

✭ 23

C++r bioinformatics gpu imputation snp mhc hla

SIRIUS

Domain specific library for electronic structure calculations

✭ 87

C++python fortran CMake Cuda c gpu mpi cuda density-functional-theory rocm electronic-structure-calculations pseudopotential planewave full-potential lapw

mandrake

Mandrake 🌿/👨‍🔬🦆 – Fast visualisation of the population structure of pathogens using Stochastic Cluster Embedding

✭ 29

python C++Cuda c CMake Makefile genomics gpu cuda embedding pathogens

CARE

CHAI and RAJA provide an excellent base on which to build portable codes. CARE expands that functionality, adding new features such as loop fusion capability and a portable interface for many numerical algorithms. It provides all the basics for anyone wanting to write portable code.

SneakySnake

SneakySnake🐍 is the first and the only pre-alignment filtering algorithm that works efficiently and fast on modern CPU, FPGA, and GPU architectures. It greatly (by more than two orders of magnitude) expedites sequence alignment calculation for both short and long reads. Described in the Bioinformatics (2020) by Alser et al. https://arxiv.org/abs…

✭ 44

VHDL Verilog shell C++Cuda SystemVerilog fpga gpu smith-waterman needleman-wunsch sequence-alignment long-reads minimap2 short-reads hardware-accelerator sequence-aligner edlib pre-alignment-filtering wavefront-alignment

nvbench

CUDA Kernel Benchmarking Library

✭ 213

Cuda C++CMake python shell benchmark performance gpu cuda nvidia cuda-kernels kernel-benchmark

xentica

GPU-accelerated engine for multi-dimensional cellular automata

✭ 29

python translator framework gpu cellular-automata multidimensional artipixoids

hpc

Learning and practice of high performance computing (CUDA, Vulkan, OpenCL, OpenMP, TBB, SSE/AVX, NEON, MPI, coroutines, etc. )

✭ 39

C++Cuda CMake c python assembly hpc gpu vulkan opencl thread mpi parallel-computing cuda optimize avx sse simd tbb coroutine heterogeneous mpi4py

Bearcat captcha

熊猫识别不定长验证码,基于tensorflow2.2(tensorflow2.3也可以运行)轻松就能练出不错的模型

✭ 67

python cpu gpu captcha tensorflow2 test-dataset train-dataset pack-dataset

Tigr

Transforming Graphs for Efficient Irregular Graph Processing on GPUs

✭ 34

Cuda C++Makefile graph gpu graph-processing graph-analytics graph-transformation irregularity

cytonRL

reinforcement learning, deep Q-network, double DQN, dueling DQN, prioritized experience replay

✭ 30

Cuda C++reinforcement-learning neural-network gpu atari-games

heat

Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python

✭ 127

python Jupyter Notebook data analytics gpu distributed tensors

fluctus

An interactive OpenCL wavefront path tracer

✭ 55

C++c CMake python shell SWIG gpu graphics rendering global-illumination opencl path-tracer raytracing pathtracing path-tracing

GPU-Fog-Particles

Textureless fog particles using a highly customizable shader to attenuate noise values.

✭ 303

GLSL unity shaders gpu fog shader unity3d particles volumetric

community datasets

Example datasets and dashboards known to work well in OmniSci

✭ 14

shell sql dataviz hpc examples gpu accelerated-analytics

neovide

No Nonsense Neovim Client in Rust

✭ 9,351

rust Handlebars CSS javascript neovim gpu skia neovim-guis

nuance

A tool to run your shaders on the gpu. Also a good demo application for wgpu-rs.

✭ 26

rust GLSL gpu glsl shader wgpu wgpu-rs

vent

Vent is a light-weight platform built to automate network collection and analysis pipelines using a flexible set of popular open source tools and technologies. Vent is python-based, extensible, leverages docker containers, and provides both an API and CLI.

✭ 73