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

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

The fastai deep learning library

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

Free Data Engineering course!

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Learn OpenCV : C++ and Python Examples

This repository contains the source code for the paper First Order Motion Model for Image Animation

Free MLOps course from DataTalks.Club

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

TensorFlow Tutorials with YouTube Videos

Image restoration with neural networks but without learning.

Notebooks and code for the book "Introduction to Machine Learning with Python"

this repository accompanies the book "Grokking Deep Learning"

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

NYU Deep Learning Spring 2020

Python code for "Probabilistic Machine learning" book by Kevin Murphy

The Udacity open source self-driving car project

fast.ai Courses

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

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.

The 3rd edition of course.fast.ai

Examples and guides for using the Gemini API

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

Data augmentation for NLP

Python code for common Machine Learning Algorithms

Single Shot MultiBox Detector in TensorFlow

Jupyter notebooks from the scikit-learn video series

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

Code repository for O'Reilly book