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

12 Lessons to Get Started Building AI Agents

Python Data Science Handbook: full text in Jupyter Notebooks

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…

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

A collection of various deep learning architectures, models, and tips

Practice your pandas skills!

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Best Practices, code samples, and documentation for Computer Vision.

TensorFlow Tutorials with YouTube Videos

Image restoration with neural networks but without learning.

Toturials coming with the "data science roadmap" picture.

A unified framework for 3D content generation.

Create delightful software with Jupyter Notebooks

Collection of useful data science topics along with articles, videos, and code

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

Lectures on scientific computing with python, as IPython notebooks.

Open-source demos hosted on Dash Gallery

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) fo…

A high performance implementation of HDBSCAN clustering.

[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

A crash course in six episodes for software developers who want to become machine learning practitioners.

A collection of IPython notebooks covering various topics.

Handout for the tutorial "Creating publication-quality figures with matplotlib"