This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).

This is a benchmark repository for safe reinforcement learning algorithms

An extension of the PyMARL codebase that includes additional algorithms and environment support

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well …

这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容

Transfer Learning library for Deep Neural Networks.

Multi-agent Reinforcement Learning for Autonomous Vehicles

Automatic Tuning for Data-driven Model Predictive Control

Highcharts official wrapper for Angular

📝 An awesome Data Science repository to learn and apply for real world problems.

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

Federated Learning Library: https://fedml.ai

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

This project is created for the simulations of the paper: [Wang2021] Wenbo Wang, Amir Leshem, Dusit Niyato and Zhu Han, "Decentralized Learning for Channel Allocation inIoT Networks over Unlicensed…

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

Open-source simulator for autonomous driving research.

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

Time series analysis with techniques and plots

Data-driven modelling of complex systems via Deep Koopman Operators.

All Algorithms implemented in Python

An Industrial Grade Federated Learning Framework

A Python package for modular causal inference analysis and model evaluations

A Modern Platform for Planning High-Renewable Power Systems

Manage federated learning workload using cloud native technologies.