wgrathwohl Goto Github PK

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

compressed_rnn

Compressing RNN's and stuff

dcgan-tensorflow

A tensorflow implementation of Deep Convolutional Generative Adversarial Networks

deeplearningrefuse

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

discs

DISCS: The code base for the Benchmark for Discrete Sampling

flows

gans-n-gmms

Official implementation of "On GANs and GMMs"

gwg_release

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

improved_contrastive_divergence

inference_sandbox

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

jaxflows

Will wants to learn JAX. He will implement flows.

jem

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

lgan

lsd

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

noreward-rl

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

proba_proto

Probabilistic Reinterpretation of Prototypical Networks

reparamer

houses utilities for reparameterization gradients for nonstandard distributions

snf

will plays around with stochastic normalizing flows

spaghetti-dql

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

text_gen

Conditional Text Generation

tf_magic_init

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

vectorbib

vera