Popular GitHub Repositories for Ml Efficiency

An Open Source Machine Learning Framework for Everyone

YOLOv5 ? in PyTorch > ONNX > CoreML > TFLite

100 Days of ML Coding

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Visualizer for neural network, deep learning and machine learning models

Cross-platform, customizable ML solutions for live and streaming media.

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

? A ranked list of awesome machine learning Python libraries. Updated weekly.

Open source platform for the machine learning lifecycle

Universal LLM Deployment Engine with ML Compilation

? The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Open standard for machine learning interoperability

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

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

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

VIP cheatsheets for Stanford's CS 229 Machine Learning

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.