gpu-acceleration

A WebGL accelerated JavaScript library for training and deploying ML models.

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

A highly efficient and modular implementation of Gaussian Processes in PyTorch

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.

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

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

A high performance anime upscaler

A new approach to Emacs - Including TypeScript, Threading, Async I/O, and WebRender.

The fastest and most memory efficient lattice Boltzmann CFD software, running on any GPU via OpenCL.

TornadoVM: A practical and efficient heterogeneous programming framework for managed languages

stdgpu: Efficient STL-like Data Structures on the GPU

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

Cross Platform Professional Procedural Terrain Generation & Texturing Tool

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

Node-based image editor with GPU-acceleration.

GPU-accelerated Deep Learning on Windows 10 native

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

Android Camera that uses Enhanced image processing

Deep learning toolkit-enabled VLSI placement

NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.