Popular GitHub Repositories for Gpu Computing

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

Simulation of spiking neural networks (SNNs) using PyTorch.

List of Deep Learning Cloud Providers

GPU-Jupyter: Your GPU-accelerated JupyterLab with a rich data science toolstack, TensorFlow and PyTorch for your reproducible deep learning experiments.

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

A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.

AMD ROCm Installation Guide on RX 6600 XT + TensorFlow and PyTorch

A Deep Learning framework with very few dependencies, Written in Rust

MetaDE is a GPU-accelerated evolutionary framework that optimizes Differential Evolution (DE) strategies via meta-level evolution. Supporting both JAX and PyTorch, it dynamically adapts mutation and crossover strategies for efficient large-scale black-box optimization.

Quantum error correction code AI-discovery with Jax

RankSEG: A consistent ranking-based framework for segmentation

resources pour le cours d'introduction à la programmation des GPUs du mastère spécialisé HPC-AI

Vision Xformers

Example code for deploying GPU workloads on ECS

Connect Owl with other accelerators and numerical frameworks with symbolic maths

A benchmark suite for Graph Machine Learning

GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA.

TensorForce-Client: Running Parallelized Reinforcement Learning Experiments in the Cloud