Popular GitHub Repositories for Lab Practice

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

Lab Materials for MIT 6.S191: Introduction to Deep Learning

An 11-Lesson course teaching everything you need to know about harnessing GitHub Copilot as an AI Paired Programming resource.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2025 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

TensorFlow Basic Tutorial Labs

Machine Learning Resources, Practice and Research

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

A best practice for tensorflow project template architecture.

? All-in-one web-based IDE specialized for machine learning and data science.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

? Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). ? OSDI, NSDI, SIGCOMM, SoCC, MLSys, etc. ?️ Llama3, Mistral, etc. ?‍? Video Tutorials.

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

This repos contains notebooks for the Advanced Solutions Lab: ML Immersion

A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.