Popular GitHub Repositories for Gpu Parallelism

ComfyUI docker images for use in GPU cloud and local environments. Includes AI-Dock base for authentication and improved user experience.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Making large AI models cheaper, faster and more accessible

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed, P2P inference

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

The fastai deep learning library

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

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

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

? GPU accelerated Neural networks in JavaScript for Browsers and Node.js

Open deep learning compiler stack for cpu, gpu and specialized accelerators

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

? Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

An open-source, low-code machine learning library in Python

Running large language models on a single GPU for throughput-oriented scenarios.

SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 15+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

CUDA Templates for Linear Algebra Subroutines

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

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.