Popular GitHub Repositories for Practice Exercises

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 booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

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

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

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

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

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)

Machine Learning Resources, Practice and Research

A best practice for tensorflow project template architecture.

? 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.

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

Pen and paper exercises in machine learning

Bare bone examples of machine learning in TensorFlow

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

LLMs interview notes and answers:该仓库主要记录大模型（LLMs）算法工程师相关的面试题和参考答案

Best practice TTS based on BERT and VITS with some Natural Speech Features Of Microsoft; Support ONNX streaming out!

Build real C projects with 18 beginner-friendly challenges. Learn by doing with guided coding exercises and practical applications.

Automatically find issues in image datasets and practice data-centric computer vision.

Artemis - Interactive Learning with Automated Feedback