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adbook

anbook

bayesianmodelinginpython

cointoolbox.github.io

cornell-cs5785-2022-applied-ml

Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2022)

cs5242_2021

Neural Networks and Deep Learning, NUS CS5242, 2021

cv-ml-lecture-notebooks

Computer Vision and Machine Learning Jupyter Notebooks for Educational Purposes

datascience_interactive_python

Python interactive dashboards for learning data science

deep-learning-ressources

A deep-dive on the entire history of deep-learning

deep-learning-wizard

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

deepcourse

Learn the Deep Learning for Computer Vision in three steps: theory from base to SotA, code in PyTorch, and space-repetition with Anki

diffusion-models-class

Materials for the Hugging Face Diffusion Models Course

dl-visualization

This is the source code for the animations in the series "Visualizing Deep Learning"

dlbook

fastbook

The fastai book, published as Jupyter Notebooks

fsdl-text-recognizer-2022-labs

Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022

gml2023

Graph Machine Learning course, Xavier Bresson, 2023

high-dim-ridge

The optimal ridge penalty for real-world high-dimensional data can be zero or negative due to the implicit ridge regularization

info8010-deep-learning

Lectures for INFO8010 - Deep Learning, ULiège

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

made-with-ml

Learn how to responsibly develop, deploy and maintain production machine learning applications.

manim

A community-maintained Python framework for creating mathematical animations.

manimml

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

mdbook-quiz

Interactive quizzes for Markdown

ml-engineering

Machine Learning Engineering Online Book

mlbook

notebooks

code for deep learning courses

numerical-tours

Numerical Tours of Signal Processing

pix2pixcc2

probabilistic-programming-and-bayesian-methods-for-hackers

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 ;)