R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

✭ 159

r machine-learning classification unsupervised-learning recommender-system regression timeseries anomaly-detection xgboost feature-engineering supervised-learning gpu-acceleration transformations automated-machine-learning h2o

Stitchem

Vahana VR & VideoStitch Studio: software to create immersive 360° VR video, live and in post-production

✭ 147

video-streaming gpu-acceleration

Gpurir

Python library for Room Impulse Response (RIR) simulation with GPU acceleration

✭ 145

cuda gpu-acceleration

Marian Dev

Fast Neural Machine Translation in C++ - development repository

✭ 136

cpp11 cuda fast neural-machine-translation gpu-acceleration

Hedgehog Lab

Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation.

✭ 1,797

javascript typescript CSS machine-learning tex data-visualization webgl latex scientific-computing webgl2 gpu-acceleration computer-algebra symbolic-computation matrix-library

Pysnn

Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration

✭ 129

python python3 deep-learning machine-learning pytorch neural-networks dynamic gpu-computing gpu-acceleration

Blazingsql

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

Ohgodatool

A tool for manipulating and editing AMD VBIOSes.

✭ 107

gpu-acceleration

Deepnet

Deep.Net machine learning framework for F#

✭ 99

fsharp deep-learning machine-learning dotnet gpu cuda tensor gpu-computing gpu-acceleration

Emu

The write-once-run-anywhere GPGPU library for Rust

✭ 1,350

rust gpu gpgpu gpu-computing gpu-acceleration

Arctern

✭ 94

gis geospatial geolocation gpu-acceleration

Glove As A Tensorflow Embedding Layer

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

✭ 85

jupyter-notebook tensorflow neural-network gpu word2vec word-embeddings gpu-acceleration glove

Cekirdekler

Multi-device OpenCL kernel load balancer and pipeliner API for C#. Uses shared-distributed memory model to keep GPUs updated fast while using same kernel on all devices(for simplicity).

✭ 76

gpu dynamic opencl gpgpu load-balancer gpu-computing pool parallelism gpu-acceleration batch-processing

Tfjs Core

WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.

✭ 8,514

javascript typescript deep-learning machine-learning neural-network deep-neural-networks webgl gpu-acceleration

Sluggish

Toy CPU and GPU implementations of the Slug rendering algorithm

✭ 70

c font gpu-acceleration slug

Heteroflow

Concurrent CPU-GPU Programming using Task Models

✭ 57

gpu cuda multithreading gpu-computing gpu-acceleration

Opencl 101

Learn OpenCL step by step.

✭ 43

c tutorials opencl tutorial-code gpu-acceleration guides scratch

Anime4kcpp

A high performance anime upscaler

✭ 887

cpp machine-learning cnn computer-graphics anime video-processing gpu-acceleration

Stdgpu

stdgpu: Efficient STL-like Data Structures on the GPU

✭ 531

cpp cpp17 cpp14 data-structures gpu cuda gpgpu gpu-computing stl openmp gpu-acceleration

Dlwin

GPU-accelerated Deep Learning on Windows 10 native

✭ 523

python deep-learning tensorflow keras theano gpu-acceleration cudnn

Opt einsum

⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.

✭ 397

python performance tensor gpu-acceleration

Neuralnetwork.net

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

✭ 392

csharp machine-learning neural-network ai convolutional-neural-networks cnn cuda visual-studio netstandard supervised-learning gpu-acceleration gradient-descent net-framework

Bayadera

High-performance Bayesian Data Analysis on the GPU in Clojure

✭ 342

clojure machine-learning gpu cuda statistics opencl bayesian-inference high-performance-computing gpu-computing bayesian mcmc gpu-acceleration bayesian-data-analysis

Vuh

Vulkan compute for people

✭ 264

framework gpu glsl vulkan gpgpu high-performance-computing gpu-computing gpu-acceleration glsl-shaders

TaichiGAME

GPU Accelerated Motion Engine based on Taichi Lang.

✭ 35

python simulation motion physics-engine motion-planning gpu-acceleration physics-simulation taichi motion-control

Cascade

Node-based image editor with GPU-acceleration.

✭ 122

C++QMake vulkan image-editor gpu-acceleration node-based

Jampack

Experimental parallel compression algorithm

✭ 21

C++Batchfile cuda gpu-acceleration bwt compression-algorithm multithreaded

vegasflow

VegasFlow: accelerating Monte Carlo simulation across multiple hardware platforms

✭ 19

python shell machine-learning tensorflow monte-carlo efficiency gpu-acceleration monte-carlo-integration

rbcuda

CUDA bindings for Ruby

✭ 57

c ruby cuda high-performance-computing gpu-acceleration gpu-computing

pyanime4k

An easy way to use anime4k in python

✭ 80

python shell machine-learning anime video-processing gpu-acceleration upscale upscaling anime4k anime4kcpp

mm-bp-snn

No description or website provided.

✭ 30

Cuda C++matlab gpu-acceleration backpropagation deep-spiking-neural-networks neurips-2018

Obsidian

Obsidian Language Repository

✭ 38

haskell shell gpu edsl gpu-acceleration gpu-computing

Galaxia-Runtime

Galaxy generator for Unity 3D, with Custom Particle Distributors, DirectX 11 Particles and Highly customization, curve driven Generation.

✭ 36

C#ShaderLab generator tool unity3d particles gpu-acceleration galaxy asset

pytorch-gpu-data-science-project

Template repository for a Python 3-based (data) science project with GPU acceleration using the PyTorch ecosystem.

✭ 16

python shell Dockerfile data-science deep-learning gpu pytorch scientific-computing gpu-acceleration template-project scientific-workflows scientific-research

dpnp

NumPy drop-in replacement for Intel(R) XPUs

✭ 42

C++python cython gpu numpy intel gpu-acceleration pstl mkl sycl oneapi dpcpp

environments

Determined AI public environments

✭ 22

c Makefile shell python Dockerfile docker deep-learning gpu-acceleration

KRS

The Kria Robotics Stack (KRS) is a ROS 2 superset for industry, an integrated set of robot libraries and utilities to accelerate the development, maintenance and commercialization of industrial-grade robotic solutions while using adaptive computing.

✭ 26

CSS HTML javascript acceleration fpga robotics hardware ros gpu-acceleration krs kernels robot-operating-system hardware-acceleration ros2 fpga-acceleration kv260 kria kria-som k26

Nexus

🖼️ Actionscript 3, GPU accelerated 2D game engine using Stage3D

✭ 12

actionscript javascript engine rendering spritesheet gpu-acceleration

Jamais-Vu

Audio Fingerprinting and Recognition in Python using NVidia's CUDA

✭ 24

python c audio mysql radio numpy mp3 cuda scipy gpu-acceleration wave pycuda audio-fingerprinting peak-detection

gpuhd

Massively Parallel Huffman Decoding on GPUs

✭ 30

C++Cuda Makefile huffman decompression huffman-coding gpu-acceleration data-compression gpu-computing entropy-coding gpu-programming huffman-decoder

Scientific-Programming-in-Julia

Repository for B0M36SPJ

✭ 32

julia automatic-differentiation julia-language gpu-acceleration differential-equations meta-programming julialang parallel-programming

runtime

AnyDSL Runtime Library

✭ 17

C++CMake python c gpu simd gpu-acceleration gpu-computing vectorization

PHCpack

The primary source code repository for PHCpack, a software package to solve polynomial systems with homotopy continuation methods.

✭ 50

Ada c C++Cuda python Macaulay2 parallel-computing gpu-acceleration algebraic-geometry homotopy polynomial-systems homotopy-continuation-methods

Apriori-and-Eclat-Frequent-Itemset-Mining

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

GoldenSun

A path tracer based on hardware ray tracing

✭ 20

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

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.