distributed-computing

17 projetos partilham este topic do GitHub

Linhas conectam membros que estão mensuravelmente relacionados entre si. O tamanho do ponto reflete estrelas.

🧬 Membros

ColossalAI

Making large AI models cheaper, faster and more accessible

★ 41.4k

Qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

★ 15.2k

Daft

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured…

★ 5.7k

rl

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

★ 3.5k

catalyst

Accelerated deep learning R&D

★ 3.4k

sail

Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and…

★ 3.2k

zenoh

zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional…

★ 3k

distributed-llama

Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More…

★ 3k

fugue

A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark,…

★ 2.2k

Awesome-Federated-Machine-Learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

★ 2.1k

beta9

Ultrafast serverless GPU inference, sandboxes, and background jobs

★ 1.7k

vizier

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google…

★ 1.7k

elephas

Distributed Deep learning with Keras & Spark

★ 1.6k

AI-Horde

A crowdsourced distributed cluster for AI art and text generation

★ 1.5k

taOS

Self-hosted AI agent OS. Your memory, chat, agents, and files stay on hardware you own, offline by default,…

★ 464

Awesome-Distributed-Deep-Learning

A curated list of awesome Distributed Deep Learning resources.

★ 442

RePlay

A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models

★ 408

Medido a partir dos tópicos do GitHub compartilhados por ambos os projetos, ponderado pela raridade de cada tópico.