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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Examples and guides for using the OpenAI API
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Google Research
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 👇🏼
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
10 Weeks, 20 Lessons, Data Science for All!
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 ;)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
A game theoretic approach to explain the output of any machine learning model.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
FinRL®: Financial Reinforcement Learning. 🔥
Kubernetes community content
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Python training for business analysts and traders
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
this repository accompanies the book "Grokking Deep Learning"
The "Python Machine Learning (2nd edition)" book code repository and info resource
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.