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Starred repositories
21 Lessons, Get Started Building with Generative AI
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Examples and guides for using the OpenAI API
Learn how to design, develop, deploy and iterate on production-grade ML applications.
12 Weeks, 24 Lessons, AI for All!
This is a repo with links to everything you'd ever want to learn about data engineering
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
10 Weeks, 20 Lessons, Data Science for All!
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Anthropic's Interactive Prompt Engineering Tutorial
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
100-Days-Of-ML-Code中文版
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
💿 Free software that works great, and also happens to be open-source Python.
12 Weeks, 24 Lessons, IoT for All!
Code for Machine Learning for Algorithmic Trading, 2nd edition.
This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re…
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
Official inference library for Mistral models
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Create delightful software with Jupyter Notebooks
felixge's notes on the various go profiling methods that are available.
An educational AI robot based on NVIDIA Jetson Nano.
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…
Code repository for O'Reilly book
Quantitative analysis, strategies and backtests
Python libraries for Google Colaboratory