12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Examples and guides for using the OpenAI API

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

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 ;)

The fastai book, published as Jupyter Notebooks

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

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Lectures for Udemy - Complete Python Bootcamp Course

Official implementation of the paper "Watermark Anything with Localized Messages"

Achieve the llama3 inference step-by-step, grasp the core concepts, master the process derivation, implement the code.