TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Python Data Science Handbook: full text in Jupyter Notebooks

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 ;)

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

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

Companion webpage to the book "Mathematics For Machine Learning"

TensorFlow Tutorials with YouTube Videos

Visualizations for machine learning datasets

this repository accompanies the book "Grokking Deep Learning"

Swift for TensorFlow

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L

Code and associated files for the AI Programming with Python Nanodegree Program

Deliberate Practice for Learning Python

This is the code for "Make Money with Tensorflow 2.0" by Siraj Raval

Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison

Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]

Code for the Deep Learning with PyTorch lesson

Notebooks for learning about the layers of a convolutional neural network.