wgrathwohl

JEM

Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"

VERA

GWG_release

Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"

LSD

Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"

BackpropThroughTheVoidRL

RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Baseline repo.

captcha_crusher

Neural networks for solving image captchas

flows

snf

will plays around with stochastic normalizing flows

reparamer

houses utilities for reparameterization gradients for nonstandard distributions

tf_magic_init

Implementation of (https://arxiv.org/pdf/1511.06856v2.pdf) in tensorflow.

JAXFlows

Will wants to learn JAX. He will implement flows.

improved_contrastive_divergence

inference_sandbox

A simple sandbox environment build on top of tensorflow for testing variational inference algorithms

Spaghetti-DQL

This is an implementation of Deep Q Learning and a simple game engine to test it.

compressed_rnn

Compressing RNN's and stuff

DeepLearningRefuse

A dump of some of my deep learning projects from the past year. Includes adversarial models and variational autoencoders

gans-n-gmms

Official implementation of "On GANs and GMMs"

noreward-rl

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

text_gen

Conditional Text Generation

DCGAN-tensorflow

A tensorflow implementation of Deep Convolutional Generative Adversarial Networks

discs

DISCS: The code base for the Benchmark for Discrete Sampling

lgan

proba_proto

Probabilistic Reinterpretation of Prototypical Networks

vectorbib