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.

Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.

This introduces a suggestion of mathematical notation protocol for machine learning.

Pen and paper exercises in machine learning

200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

Feature engineering package with sklearn like functionality

skops is a Python library helping you share your scikit-learn based models and put them in production

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

📺 Discover the latest machine learning / AI courses on YouTube.

ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

Various examples for different articles