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#

gpu-acceleration

Here are 1,045 public repositories matching this topic...

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

  • UpdatedFeb 6, 2026
  • TypeScript

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

  • UpdatedFeb 13, 2026
  • C++

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

  • UpdatedAug 14, 2019
  • TypeScript

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

  • UpdatedFeb 15, 2026
  • Rust

A Python framework for accelerated simulation, data generation and spatial computing.

  • UpdatedFeb 19, 2026
  • Python

A highly efficient implementation of Gaussian Processes in PyTorch

  • UpdatedFeb 19, 2026
  • Python

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

  • UpdatedFeb 5, 2026
  • Jupyter Notebook

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.

  • UpdatedMay 2, 2024
  • TypeScript
blazingsql

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

  • UpdatedFeb 12, 2026
  • Emacs Lisp
emu

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

  • UpdatedJan 20, 2023
  • Rust

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

  • UpdatedFeb 19, 2026
  • Java

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

  • UpdatedNov 22, 2024
  • SystemVerilog
stdgpu

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