Global

VoxCPM is a tokenizer-free Text-to-Speech system that directly generates continuous speech representations via an end-to-end diffusion autoregressive architecture, bypassing discrete tokenization to achieve highly natural and expressive synthesis.

Netron is a viewer for neural network, deep learning and machine learning models.

FaceSwap is a tool that utilizes deep learning to recognize and swap faces in pictures and videos.

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

machine learning and deep learning tutorials, articles and other resources

🔥Highlighting the top ML papers every week.

Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。

让 Agent 像人一样操作浏览器与电脑。本节收录 Browser Use / Computer Use 框架、为 agent 打造的浏览器基础设施（Steel、Browserbase 等）、浏览器自动化 MCP（Chrome DevTools MCP、Playwright MCP）、反检测浏览器、桌面操作 Agent（UI-TARS、Agent S 等）与评测基准。

深度学习入门教程, 优秀文章, Deep Learning Tutorial

LangGPT: Empowering everyone to become a prompt expert!

AI , a computer vision and AI consulting company. We help organizations design, build, optimize, and deploy production-ready AI solutions.

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library.

This is the most comprehensive book available on the deep learning and available as free html book for reading at

Low-code framework for building custom LLMs, neural networks, and other AI models

This repository is a collection of tutorials for MIT Deep Learning courses. More added as courses progress.

DeepFaceLab is used by such popular youtube channels as

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

g. CPU, GPU, RAM, etc), so it is hard to make an equal comparison. The solution is to measure the performance of all models on hardware with equivalent specifications, but it is very difficult and time consuming.

:metal: awesome-semantic-segmentation