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 programs, usually short, of considerable difficulty, to perfect particular skills.

The fastai book, published as Jupyter Notebooks

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

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸

Neural Networks: Zero to Hero

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

this repository accompanies the book "Grokking Deep Learning"

Recipes for using Python's pandas library

felixge's notes on the various go profiling methods that are available.

Lectures on scientific computing with python, as IPython notebooks.

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

A Haskell kernel for the Jupyter project.

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at …

Logica is a logic programming language that compiles to SQL. It runs on DuckDB, Google BigQuery, PostgreSQL and SQLite.

ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.

Generative Adversarial Networks implemented in PyTorch and Tensorflow

Code for a tutorial on Bayesian Statistics by Allen Downey.

Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph

Visual Search using Apache MXNet and gluon

Code for Implement DNS in a Weekend