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.

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 ;)

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

A High-Quality Real Time Upscaler for Anime Video

A collection of various deep learning architectures, models, and tips

Jupyter Interactive Notebook

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Microsoft Quantum Development Kit Samples