kylehkhsu Goto Github PK
Name: Kyle Hsu
Type: User
Twitter: kylehkhsu
Location: Stanford, CA
Blog: kylehsu.org
Name: Kyle Hsu
Type: User
Twitter: kylehkhsu
Location: Stanford, CA
Blog: kylehsu.org
📝 Easily create a beautiful website using Academic, Hugo, and Netlify
Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"
Chainer implementation of adversarial autoencoder (AAE)
Data synthesis code for "AGENT: A Benchmark for Core Psychological Reasoning"
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
Code for Unsupervised Learning via Meta-Learning.
Code for Unsupervised Learning via Meta-Learning.
Deep Clustering for Unsupervised Learning of Visual Features
Motion imitation with deep reinforcement learning.
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
DrQ: Data regularized Q
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Framework for Easily Invertible Architectures
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
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.
A Simulation Environment to train Robots in Large Realistic Interactive Scenes
Clean PyTorch implementations of imitation learning algorithms
Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"
Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"
Keras implementations of Generative Adversarial Networks.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.