Popular GitHub Repositories for Deployment Tutorial

? Lobe Chat - an open-source, modern-design AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / DeepSeek / Qwen), Knowledge Base (file upload / knowledge management / RAG ), Multi-Modals (Plugins/Artifacts) and Thinking. One-click FREE deployment of your private ChatGPT/ Claude / DeepSeek application.

??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

100 Days of ML Coding

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

PyTorch Tutorial for Deep Learning Researchers

Curso para aprender el lenguaje de programación Python desde cero y para principiantes. 100 clases, 44 horas en vídeo, código, proyectos y grupo de chat. Fundamentos, frontend, backend, testing, IA...

A curated list of awesome Deep Learning tutorials, projects and communities.

Universal LLM Deployment Engine with ML Compilation

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

:satellite: Simple and ready-to-use tutorials for TensorFlow

machine learning and deep learning tutorials, articles and other resources

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

Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.

Natural Language Processing Tutorial for Deep Learning Researchers

An open-source runtime for composable workflows. Great for AI agents and CI/CD.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Free MLOps course from DataTalks.Club

AI绘画资料合集（包含国内外可使用平台、使用教程、参数教程、部署教程、业界新闻等等） Stable diffusion、AnimateDiff、Stable Cascade 、Stable SDXL Turbo

Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.