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

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Interpretable ML with Python, 2E - published by Packt

List of papers about Proteins Design using Deep Learning

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

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Machine Learning algorithm implementations from scratch.

PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book

All Algorithms implemented in Python

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

Algorithms implemented in the Julia programming language. We're collaborating with the Humans of Julia community!

A collection of algorithms and data structures

Collection of various algorithms implemented in R.

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

Hands-On Machine Learning with C++, published by Packt

An introductory workshop to protein language models

Practical Cheminformatics Tutorials

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

A curated list of Cheminformatics libraries and software.

A tutorial for manim, a mathematical animation engine made by 3b1b

Interpretable Machine Learning with Python, published by Packt

Data Structures and Algorithms in Python

The official repository for the Rock the JVM Advanced Scala course