Popular GitHub Repositories for Speaking 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

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)

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

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!

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

A powerful 3B-parameter, LLM-based Reinforcement Learning audio edit model excels at editing emotion, speaking style, and paralinguistics, and features robust zero-shot text-to-speech

Beginner-friendly AI conversation practice application / 更适合新手的 AI 口语对话练习应用 (Been busy lately, but still maintaining)

计算机视觉实践和探索/Practice and explorations in computer vision.

Computer Vision Practice

Striving to create a great Application with full functions of learning languages by ChatGPT, TTS, STT and other awesome AI models, supports talking, speaking assessment, memorizing words with contexts, Listening test, so on.

A holistic way of understanding how Llama and its components run in practice, with code and detailed documentation.

? Pytorch interview questions and answers to help you prepare for your next machine learning and data science interview in 2025.

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