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Code for our paper "Robust and Communication-Efficient Collaborative Learning", (NeurIPS 2019) https://arxiv.org/abs/1907.10595
Code for implementing and experimenting with quantum algorithms
IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition
Racing using Hierarchical Predictive Learning
Python Implementation of Reinforcement Learning: An Introduction
This repository contains the codes and supplementary materials of "Relaxed hybrid consensus ADMM for distributed convex optimisation with coupling constraints" paper.
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
Collection of reinforcement learning algorithms
Accelerating Quadratic Optimization with Reinforcement Learning
RoBO: a Robust Bayesian Optimization framework
Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020
Some implementations from the paper robust risk aware reinforcement learning
Ambiguity set construction for Model based Robust Reinforcement Learning.
This is a benchmark repository for safe reinforcement learning algorithms
Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.
scalable multi agents reinforcement learning
Deep learning for Engineers - Physics Informed Deep Learning
Example codes for the book Applied Stochastic Differential Equations
This repository includes the source code and dataset information needed to reproduce the results from our paper. For more information about our lab please visit https://aicps.eng.uci.edu
Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems
Python code to small signal stability_Kundur example
Offline Optimization Problem, Online Gradient Descent, Online Balanced Gradient Descent, Receding Horizon Control Algorithm, Commitment Horizon Control Algorithm
Naive, XGBoost, AdaBoost and other Regressors
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
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.