An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

Notify If a selected plane has taken off or landed using OpenSky or ADS-B Exchange data. Compares older data to newer data to determine if a landing or takeoff has occurred. As well as nav modes, e…

A simple app that lets you visualise annotations from the Google Cloud Video Intelligence API using your local files.

Scorecard Development in python, 评分卡

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

StyleGAN - Official TensorFlow Implementation

Python Data Science Handbook: full text in Jupyter Notebooks

Course Files for Complete Python 3 Bootcamp Course on Udemy

Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.

LSTM Neural Network that tries to write piano melodies similar to Bach's

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

An Open Source Machine Learning Framework for Everyone

All the Git-it Workshop completers!

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Gets the sentiment of YouTube comments

❔Full-stack developer interview questions and answers

A learning resource repository for 3D machine learning

3D-DCGAN trained on a corpus of 3D printable objects - as a result, the generations are usually 3D printable

starter from "How to Train a GAN?" at NIPS2016

Building a foundation for deep learning with mathematics and neuroscience

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Ian Goodfellow's private research codebase