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

Python Data Science Handbook: full text in Jupyter Notebooks

Course to get into Large Language Models (LLMs) with roadmaps and Colab 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 ;)

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Data and code behind the articles and graphics at FiveThirtyEight

💿 Free software that works great, and also happens to be open-source Python.

PyTorch tutorials.

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Notebooks and code for the book "Introduction to Machine Learning with Python"

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

Overview and tutorial of the LangChain Library

Code for Tensorflow Machine Learning Cookbook

Simple tutorials using Google's TensorFlow Framework

From the basics to slightly more interesting applications of Tensorflow

Repo for the Deep Learning Nanodegree Foundations program.

line drawing colorization using chainer

A Haskell kernel for the Jupyter project.

A python tutorial on bayesian modeling techniques (PyMC3)

🪼 a python library for doing approximate and phonetic matching of strings.

Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

A deep Q learning demonstration using Google Tensorflow

Slides and code from our TensorFlow workshop.

Visualising Multi Dimensional Data

Model Visualisation.