Learn how to design, develop, deploy and iterate on production-grade ML applications.

10 Weeks, 20 Lessons, Data Science for All!

Free Data Engineering course!

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Kolmogorov Arnold Networks

Companion webpage to the book "Mathematics For Machine Learning"

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

Practice your pandas skills!

YSDA course in Natural Language Processing

A course on aligning smol models.

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

Material for gpu-mode lectures

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

Machine learning in Python with scikit-learn MOOC

Официальный репозиторий курса Deep Learning (2018-2021) от Deep Learning School при ФПМИ МФТИ

This repository contains implementation of different AI algorithms, based on the 4th edition of amazing AI Book, Artificial Intelligence A Modern Approach