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Kyle Hsu's Projects

acai icon acai

Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"

agent-synthesis icon agent-synthesis

Data synthesis code for "AGENT: A Benchmark for Core Psychological Reasoning"

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bullet3 icon bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

deepcluster icon deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

deepmimic icon deepmimic

Motion imitation with deep reinforcement learning.

dm_control icon dm_control

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

drq icon drq

DrQ: Data regularized Q

edward icon edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

freia icon freia

Framework for Easily Invertible Architectures

glow icon glow

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

higher icon higher

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

howtotrainyourmamlpytorch icon howtotrainyourmamlpytorch

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

igibson icon igibson

A Simulation Environment to train Robots in Large Realistic Interactive Scenes

imitation icon imitation

Clean PyTorch implementations of imitation learning algorithms

incontext-learning icon incontext-learning

Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"

infogan icon infogan

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

keras-gan icon keras-gan

Keras implementations of Generative Adversarial Networks.

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