Examples and guides for using the OpenAI API

Reverse engineered ChatGPT API

Normalizing flows in PyTorch. Current intended use is education not production.

Russian GPT3 models.

This repository contains implementations and illustrative code to accompany DeepMind publications

XLNet: Generalized Autoregressive Pretraining for Language Understanding

Imaging, analysis, and simulation software for radio interferometry

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Code for the paper "Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents"

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

Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

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

VIP cheatsheets for Stanford's CS 229 Machine Learning

My dad's resume and skills from 1980

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

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…

AutoML library for deep learning

Deep neural networks for voice conversion (voice style transfer) in Tensorflow

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

A flexible, high-performance serving system for machine learning models

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

research and implementations of Generative Models(GANs, VAEs and Autoregressive models) and their applications

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

Roadmap to becoming a React developer

A collection of pre-trained, state-of-the-art models in the ONNX format

Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018