Understanding Deep Learning - Simon J.D. Prince

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

GPT-3: Language Models are Few-Shot Learners

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

Code for the paper "Language Models are Unsupervised Multitask Learners"

Javascript BPE Encoder Decoder for GPT-2 / GPT-3

Example Discord bot written in Python that uses the completions API to have conversations with the `text-davinci-003` model, and the moderations API to filter the messages.

PyTorch package for the discrete VAE used for DALL·E.

Dataset of GPT-2 outputs for research in detection, biases, and more

A toolkit for developing and comparing reinforcement learning algorithms.

Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

subgroups is a python library which contains a collection of subgroup discovery algorithms and other data analysis utilities.

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 …

Lightweight library to build and train neural networks in Theano

A library to test Hive scripts with YARN and MR2