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

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

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

A hardware-accelerated GPU terminal emulator focusing to run in desktops and browsers.

A Python framework for GPU-accelerated simulation, robotics, and machine learning.

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

A highly efficient implementation of Gaussian Processes in PyTorch

Heterogeneous GPU Sharing on Kubernetes

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

CUDA Core Compute Libraries

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.

A high performance anime upscaler

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

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

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

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

Sionna: An Open-Source Library for Research on Communication Systems

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

OpenSource GPU, in Verilog, loosely based on RISC-V ISA