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 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.

A high performance anime upscaler

A hardware-accelerated GPU terminal emulator powered by WebGPU, focusing to run in desktops and browsers.

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

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

Deep learning in Rust, with shape checked tensors and neural networks

stdgpu: Efficient STL-like Data Structures on the GPU

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

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.

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.

Android Camera that uses Enhanced image processing

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