Pinned Repositories
pix2pix-tensorflow
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
app-engine-bugs
Google App Engine bugs that I have encountered
gevent-pypy-experimental
go-opencl-experiment
An experiment with image filtering using go and OpenCL
go-present-appengine-example
go-socks-proxy-example
Example of a SOCKSv4 proxy written in Go
gym-recording
Add-on package to gym, to record sequences of actions, observations, and rewards
rethinkgo
OBSOLETE Go language driver for RethinkDB
christopherhesse's Repositories
christopherhesse/atari-demo
Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"
christopherhesse/atari-reset
Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"
christopherhesse/deeptype
Code for the paper "DeepType: Multilingual Entity Linking by Neural Type System Evolution"
christopherhesse/EPG
Code for the paper "Evolved Policy Gradients"
christopherhesse/evolution-strategies-starter
Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
christopherhesse/finetune-transformer-lm
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
christopherhesse/generating-reviews-discovering-sentiment
Code for "Learning to Generate Reviews and Discovering Sentiment"
christopherhesse/glow
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"
christopherhesse/gym
A toolkit for developing and comparing reinforcement learning algorithms.
christopherhesse/iaf
Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"
christopherhesse/imitation
Code for the paper "Generative Adversarial Imitation Learning"
christopherhesse/improved-gan
Code for the paper "Improved Techniques for Training GANs"
christopherhesse/InfoGAN
Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"
christopherhesse/large-scale-curiosity
Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
christopherhesse/maddpg
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
christopherhesse/mlsh
Code for the paper "Meta-Learning Shared Hierarchies"
christopherhesse/mujoco-py
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
christopherhesse/multiagent-competition
Code for the paper "Emergent Complexity via Multi-agent Competition"
christopherhesse/multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
christopherhesse/neural-gpu
Code for the Neural GPU model originally described in "Neural GPUs Learn Algorithms"
christopherhesse/ot-gan
Code for the paper "Improving GANs Using Optimal Transport"
christopherhesse/pixel
Code for a single pixel debate game from the paper "AI safety via debate" https://arxiv.org/abs/1805.00899
christopherhesse/pixel-cnn
Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"
christopherhesse/retro
Retro Games in Gym
christopherhesse/roboschool
Open-source software for robot simulation, integrated with OpenAI Gym.
christopherhesse/signup-forms
Code for the paper "World of Bits: An Open-Domain Platform for Web-Based Agents"
christopherhesse/spinningup
An educational resource to help anyone learn deep reinforcement learning.
christopherhesse/supervised-reptile
Code for the paper "On First-Order Meta-Learning Algorithms"
christopherhesse/vime
Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"
christopherhesse/weightnorm
Example code for Weight Normalization, from "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks"