shaoruchen Goto Github PK
Name: Shaoru Chen
Type: User
Company: LinkedIn
Bio: Senior Machine Learning Engineer at LinkedIn
Location: Sunnyvale
Name: Shaoru Chen
Type: User
Company: LinkedIn
Bio: Senior Machine Learning Engineer at LinkedIn
Location: Sunnyvale
alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP'21)
[NeurIPS 2020]auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks
OpenAI's cartpole env solver.
This repository contains CartPole simulator with its GUI, implemented controller (LQR) and generator of random desired position trace. It also contains files to train and test RNN predicting future states of a CartPole.
Learn a neural network control barrier function subject to safety constraints composited by logical operations.
A method for training neural networks that are provably robust to adversarial attacks.
Dual iterative algorithms for Neural Network output bounds computations
A collection of various deep learning architectures, models, and tips
Solving the linear programming-based neural network verification problem through Alternating Direction Method of Multipliers (ADMM).
A toolkit for developing and comparing reinforcement learning algorithms.
Solve hybrid OCPs with occupation measures on Yalmip
Deep Reinforcement Learning for Keras.
Reinforcement learning with tensorflow 2 keras
Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Lindemann, H. Zhang, D. V. Dimarogonas, S. Tu, and N. Matni, https://arxiv.org/abs/2004.03315
A cutting-plane method to synthesize Lyapunov functions for neural network uncertain systems.
Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.
Verification-aided learning of NN barrier functions with a convex optimization-based fine-tuning step can boost success rate.
Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.
Solving a constrained robust optimal control problem with uncertain neural network dynanmics through convex optimization.
Finite-step reachable set over-approximation of NN dynamical systems using the one-shot and recursive methods.
Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.
Control of piecewise affine systems
Python Implementation of Reinforcement Learning: An Introduction
Robust optimal control of nonlinear systems
[NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
A fork of the Systems Polynomial Optimization Toolbox.
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.