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ADRC controller
v1
This repository contains classwork and practice examples based on Model Predictive Control. Robust and Stochastic control methods applied to and studied for linear/non-linear plants.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"
Caffe: a fast open framework for deep learning.
An illustrative example of DS based controller for non-contact/contact transitions
The MATLAB code shows a simple collaborative transportation task carried out on a planar workspace. The models, algorithms and results given in this code are linked to the T-RO paper "Learning Physical Robot Collaborative Behaviors from Human Demonstrations"
[ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning
cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control
Codes for designing ConVex Optimization-based Stochastic steady-state Tracking Error Minimization (CV-STEM) Control
Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
Pytorch implementation of distributed deep reinforcement learning
The DeepMind Control Suite and Package
Implementation of DMP in Python 3.5
Implementation of Dynamic Movement Primitives (DMPs) in Python 3.5 together with various methods to treat obstacle avoidance
C++ library for Function Approximation, Dynamical Movement Primitives, and Black-Box Optimization
Task-based end-to-end model learning in stochastic optimization
Simple, straighforward ROS library for hand-eye calibration
the Matlab code for reproducing the results of the paper "Exploiting Symmetries to Design EKFs with Consistency Properties"
This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
This repository contains the code for GMR-based Gaussian process.
This is the companion code for the paper GOODE: A Gaussian Off-the-shelf Ordinary Differential Equation Solver by David John, Michael Schober and Vincent Heuvline.
Google AI Research
Gaussian Process Coach (GPC)
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.