Repository Index

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

• ml
• data-science
• machine-learning
• machine-learning-algorithms

Python Data Science Handbook: full text in Jupyter Notebooks

• scikit-learn
• numpy
• python
• jupyter-notebook

Learn how to develop, deploy and iterate on production-grade ML applications.

• machine-learning
• deep-learning
• pytorch
• natural-language-processing

Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼

• data-engineering
• kafka
• spark
• dbt

This is a repo with links to everything you'd ever want to learn about data engineering

• apachespark
• awesome
• bigdata
• data

10 Weeks, 20 Lessons, Data Science for All!

• data-science
• python
• data-visualization
• data-analysis

Translated📚 Building large models from scratch

• agent
• llm
• rag

Translated"开源大模型食用指南" (Open-Source Large Model Usage Guide): a tutorial tailor-made for Chinese users on quickly fine-tuning (full-parameter/LoRA) and deploying domestic and international open-source large language models (LLM) and multimodal large models (MLLM) in a Linux environment

• llm
• chatglm
• internlm2
• llama3

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

• rag
• tutorials
• langchain
• llama-index

Course Files for Complete Python 3 Bootcamp Course on Udemy

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

• bayesian-methods
• pymc
• mathematical-analysis
• jupyter-notebook

The fastai book, published as Jupyter Notebooks

• notebooks
• fastai
• deep-learning
• machine-learning

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

TranslatedAn introductory LLM tutorial for developers, the Chinese version of Andrew Ng's large model course series

• cookbook
• llm

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

• machine-learning
• trading
• investment
• finance

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

• open-vocabulary-detection
• open-vocabulary-segmentation
• data-generation
• automatic-labeling-system

Data and code behind the articles and graphics at FiveThirtyEight

• data

Translated"Lee Hung-yi's Deep Learning Tutorial" (recommended by Professor Hung-yi Lee 👍, the Apple Book 🍎), PDF download address: https://github.com/datawhalechina/leedl-tutorial/releases

• machine-learning
• deep-learning
• leedl-tutorial
• cnn

Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort

• machine-learning
• mlops
• model-deployment
• model-monitoring

Your new Mentor for Data Science E-Learning.

• tensorflow
• machine-learning
• machine-vision
• datascience

Learn ML engineering for free in 4 months! Register here 👇🏼

• course
• deployment
• docker
• fastapi

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

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

Python training for business analysts and traders

• python
• jupyter
• jupyterlab
• binder

TranslatedThis project is a tutorial on developing large model applications, aimed at beginner developers. Read it online at: https://datawhalechina.github.io/llm-universe/

• langchain
• rag