The fundamental package for scientific computing with Python.

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

A MNIST-like fashion product database. Benchmark 👇

Build Graph Nets in Tensorflow

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

High-fidelity performance metrics for generative models in PyTorch

Reinforcement learning environments with musculoskeletal models

MADE (Masked Autoencoder Density Estimation) implementation in PyTorch

Foundation model for weather & climate

A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.

Online Decision Transformer

Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.

Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.

Official Implementation of LARGE: Latent-Based Regression through GAN Semantics

Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018

Code for "Boosted Generative Models", AAAI 2018.

Code for "Best arm identification in multi-armed bandits with delayed feedback", AISTATS 2018.

Implementation of Decision Stacks: Flexible RL via Modular Generative Models

Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting

VIMCO in tensorflow.