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deblender

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

deblender-gan-images

A selection of deblending inferences via the DeblenderGAN

gil-galad

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

iwacgan-tensorflow

A TensorFlow implementation of the improved Wasserstein auxiliary classifier GAN

mnist-wgan

A Keras implementation of the Wasserstein GAN using the MNIST dataset

pytorch-atari-dqn

A PyTorch implementation of deep Q-learning for Atari games

pytorch-gans

Implementations of various GAN models in PyTorch

pytorch-rnn-composer

A character-level RNN for generating music via guitar tablature

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.

snl

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

spectre

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

transformer-from-scratch

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

transformer-xl

ulmo

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