davidreiman

pytorch-atari-dqn

A PyTorch implementation of deep Q-learning for Atari games

spectre

Fully probabilistic quasar continua predictions near Lyman-α with conditional neural spline flows

deblender

Galaxy image deblending using convolutional neural networks with an adversarial regularizing loss

pytorch-rnn-composer

A character-level RNN for generating music via guitar tablature

snl

Personal implementation of Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

gil-galad

A deep learning project template for efficient, reproducible experiments in TensorFlow with Sacred

mnist-wgan

A Keras implementation of the Wasserstein GAN using the MNIST dataset

deblender-gan-images

A selection of deblending inferences via the DeblenderGAN

iwacgan-tensorflow

A TensorFlow implementation of the improved Wasserstein auxiliary classifier GAN

ulmo

Out-of-distribution detection in sea-surface temperature maps with probabilistic autoencoders

PyTorch-GANs

Implementations of various GAN models in PyTorch

scml-gan-tutorial

Supplementary code for my Santa Cruz Machine Learning (SCML) GAN tutorial

sherpa

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

transformer-from-scratch

Supplementary code for my Applied Artificial Intelligence Initiative (AAII) tutorial on transformers and the attention mechanism

transformer-xl