21 Lessons, Get Started Building with Generative AI

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

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

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.

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs,…

12 Lessons to Get Started Building AI Agents

Python Data Science Handbook: full text in Jupyter Notebooks

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

12 Weeks, 24 Lessons, AI for All!

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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

🔊 Text-Prompted Generative Audio Model

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!

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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 ;)

The fastai deep learning library

Anthropic's Interactive Prompt Engineering Tutorial

A game theoretic approach to explain the output of any machine learning model.

The fastai book, published as Jupyter Notebooks

A simple screen parsing tool towards pure vision based GUI agent

🤖 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…

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Learn OpenCV : C++ and Python Examples