Curated list of project-based tutorials
- tutorial
- project
- beginner-project
- webdevelopment
Repository Index
47,133 repositories indexed
1–24 of 194 · Most stars
Translated📚 "Building Agents from Scratch" — A tutorial on agent principles and practice, starting from zero
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
- agent
- claude-code
- teaching
- agent-development
Learn AI Engineering! Learn it. Build it. Ship it for others.
🧑🏫 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, ... 🧠
- deep-learning
- deep-learning-tutorial
- pytorch
- gan
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
- ai-scientist
- bioinformatics
- chemoinformatics
- claude
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
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...
Official Code for DragGAN (SIGGRAPH 2023)
- artificial-intelligence
- generative-adversarial-network
- generative-models
- image-manipulation
💫 Industrial-strength Natural Language Processing (NLP) in Python
PyTorch Tutorial for Deep Learning Researchers
- deep-learning
- pytorch-tutorial
- neural-networks
- pytorch
TranslatedMaple Mono: Open source monospace font with round corner, ligatures and Nerd-Font icons for IDE and terminal, fine-grained customization options. Rounded-corner monospace font with ligatures and terminal icons, with a perfect 2:1 width ratio between Chinese and English characters, and fine-grained customization options
- font
- monospace-font
- ligatures
- programming-ligatures
Documentation that simply works
- mkdocs
- theme
- documentation
- material-design
Image-to-Image Translation in PyTorch
An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
- bigvgan
- cross-lingual
- indextts
- text-to-speech
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
- computer-graphics
- computer-vision
- radiance-field
Translated100-Days-Of-ML-Code Chinese version
- machine-learning
- python
- 100-days-of-ml-code
- chinese-simplified
Best Practices on Recommendation Systems
- machine-learning
- recommender
- ranking
- deep-learning
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-translation
- speaker-recognition
- asr
- tts
PyTorch implementations of Generative Adversarial Networks.
TranslatedSource Han Sans | Source Han Sans Hong Kong
- source-han
- opentype
- cff
- otc
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
- agent
- ai
- automation
- data-mining
Web path scanner