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

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

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

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

Anthropic's Interactive Prompt Engineering Tutorial

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

The fastai book, published as Jupyter Notebooks

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

Neural Networks: Zero to Hero

Anthropic's educational courses

12 Weeks, 24 Lessons, IoT for All!

StableLM: Stability AI Language Models

Reference PyTorch implementation and models for DINOv3

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

100+ Fine-tuning Tutorial Notebooks on Google Colab, Kaggle and more.

Jupyter notebooks and other resources for Think Python by Allen Downey, published by O'Reilly Media.

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

On the Theoretical Limitations of Embedding-Based Retrieval

Deep learning Bangla resources using TensorFlow

Learn Quantum Machine Learning

Unsloth fine-tuning resources.

Download torrent using google colab

All of the codes, assignments and quiz answers for Deep Learning Specialization Course on Coursera