Repository Index

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

• ai
• finetuning
• langchain
• llama

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸

• video
• codec
• audio
• learning

TranslatedChinese tutorial on reinforcement learning (Mushroom Book 🍄), read online at: https://datawhalechina.github.io/easy-rl/

• deep-reinforcement-learning
• reinforcement-learning
• dqn
• ppo

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

• computer-vision
• deep-learning
• deep-neural-networks
• image-classification

Collection of notebooks about quantitative finance, with interactive python code.

• quantitative-finance
• jupyter-notebooks
• kalman-filter
• option-pricing

TranslatedAI in Practice - practicalAI, Chinese version

• machine-learning
• jupyter-notebook
• pytorch
• google-colab-notebook

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

• machine-learning
• python
• data-analysis
• data-science

Sutskever 30 implementations inspired by https://papercode.vercel.app/ | For Agents, use https://github.com/pageman/Sutskever-Agent | Polyglot / Multi-Backed version at https://github.com/pageman/sutskever-30-beyond-numpy

TranslatedWith only a Python foundation, build your own embodied intelligence robot from scratch; step by step from scratch, build VLA/OpenVLA/SmolVLA/Pi0, and gain a deep understanding of embodied intelligence

• embodied-agent
• embodied-ai
• embodied-intelligence
• openvla

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

• agentic-ai
• agentic-rag
• agents
• rag

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

• machine-learning
• pattern-classification
• machine-learning-algorithms

A collection of guides and examples for the Gemma open models from Google.

• codegemma
• gemma
• paligemma
• recurrentgemma

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

• python-tutorials
• python3
• advanced-python
• data-science

This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.

• artificial-intelligence
• data-science
• deep-learning
• machine-learning

📚 Jupyter notebook tutorials for OpenVINO™

• deep-learning
• machine-learning
• computer-vision
• openvino

Quantitative analysis, strategies and backtests

• quantitative-finance
• quantitative-trading
• portfolio-management
• risk-management

FLUX, Stable Diffusion, SDXL, SD3, LoRA, Fine Tuning, DreamBooth, Training, Automatic1111, Forge WebUI, SwarmUI, DeepFake, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, Kaggle, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya, Midjourney, RunPod

• dreambooth
• guides
• stable-diffusion
• tts

Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.

• generative-ai
• agentic-ai
• claude
• gemini

A collection of IPython notebooks covering various topics.

TensorFlow Tutorials

• tensorflow-tutorials
• convolutional-neural-networks
• recurrent-neural-networks

动手学Ollama，CPU玩转大模型部署，在线阅读地址：https://datawhalechina.github.io/handy-ollama/

• large-language-models
• llm
• ollama
• tutorial

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

• pytorch
• deep-learning
• machine-learning
• computer-vision

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

• milvus
• unstructured-data
• image-search
• audio-search