Examples and guides for using the OpenAI API

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 deep learning library

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

A game theoretic approach to explain the output of any machine learning model.

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

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

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

A multi-voice TTS system trained with an emphasis on quality

Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

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.

Best Practices, code samples, and documentation for Computer Vision.

An open-source, low-code machine learning library in Python

Automatic extraction of relevant features from time series:

Sweep: AI coding assistant for JetBrains

Visualizations for machine learning datasets

The "Python Machine Learning (2nd edition)" book code repository and info resource

CoreNet: A library for training deep neural networks

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Create delightful software with Jupyter Notebooks

A Bulletproof Way to Generate Structured JSON from Language Models

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm

Lectures on scientific computing with python, as IPython notebooks.

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.