Python Multi-Agent Reinforcement Learning framework

Automatic transformation of implications and complementarity into mixed-integer models in Julia

A tensorflow implementation of established Bayesian and ensemble methods for uncertainty quantification of neural networks

Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, Gal, and Srivastava

reproduce some RL or Multi-Agent models

Repo for my undergrad_thesis

code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)

A parallel framework for population-based multi-agent reinforcement learning.

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

木及简历，一款markdown的在线简历工具。 https://www.mujicv.com

🔥「AI 低代码平台」前后端分离架构SpringBoot 2.x/3.x，SpringCloud，Ant Design&Vue3，Mybatis，Shiro，JWT。强大的代码生成器让前后端代码一键生成，无需写任何代码! 引领新的开发模式，引入AI模型能力 OnlineCoding->代码生成->手工MERGE，帮助Java项目解决70%重复工作，让开发更关注业务，既能快速提高效率，帮助公司…

An open-source toolbox for the evaluation of thermal response factors (g-functions) of geothermal borehole fields.

Automatic Tuning for Data-driven Model Predictive Control

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Locational Detection of False Data Injection Attack in Smart Grid: a Multi-label Classification Approach

A flexible, intuitive and fast forecasting library

A Cross-Domain Data Hub with Electricity Market, Coronavirus Case, Mobility and Satellite Data in U.S.

Notebooks for "Python for Signal Processing" book

OPEM (Open Source PEM Fuel Cell Simulation Tool)

Discrete optimization models (i.e., stochastic optimization, distributionally robust optimization and conditional value-at-risk optimization) that can be employed for capital budgeting optimization…

Python Implementation of Reinforcement Learning: An Introduction

AI-mag: Inductor Modeling and Design with FEM and Artificial Neural Network

CoRL 2020 Code

Code for predicting user behavior in this paper: https://ev.caltech.edu/assets/pub/ACN_Data_Analysis_and_Applications.pdf

Multi-Agent Reinforcement Learning (MARL) papers with code

Multi-Agent Reinforcement Learning (MARL) papers

Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.