seungyong-han Goto Github PK
Name: Seungyong Han
Type: User
Company: Korea Atomic Energy Research Institute
Bio: My research interests are in the areas of Deep Learning and Control Theory
Location: Daejeon, Korea
Name: Seungyong Han
Type: User
Company: Korea Atomic Energy Research Institute
Bio: My research interests are in the areas of Deep Learning and Control Theory
Location: Daejeon, Korea
Programming for AI Practice
This repository provides the code about the controller design with a linear matrix inequality (LMI).
a simple demo of pendulem control using DDPG algorithm
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning
A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
ROS integration for Franka Emika research robots
Course notebooks for GANs specializations
Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart
MPC with Gaussian Process
Learning Lyapunov functions and control policies of nonlinear dynamical systems
Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.
Contains the code for the paper Neural Lyapunov Redesign published at L4DC 2021.
Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Observer Design with LMI
Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control
Dyanmics of Panda (7DOF robot manipulator) is learned by using a physics informed neural network.
Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
The goal of this repository is to improve the existing PINN.
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.
Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
Safe reinforcement learning with stability guarantees
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.