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ai-optimizer

The next generation deep reinforcement learning tookit

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

andes_gym

ANDES RL Environment for OpenAI Gym

autokeras

This is an automated machine learning (AutoML) package.

book-mathmatical-foundation-of-reinforcement-learning

This is the homepage of a new book entitled "Mathmatical Foundations of Reinforcement Learning."

china-data-solutions

Used for China Cloud Group Data Solutions

cmix

CMIX: Deep Multi-agent Reinforcement Learning with Peak and Average Constraints

deep-forest

An implementation of Deep Forest 2021.2.1.

deepesn

Deep Echo State Network (DeepESN) Python library

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

emsemble-deep-rl-for-uc-problems

grid2op

Grid2Op a testbed platform to model sequential decision making in power systems.

gridalive

Grid Alive

gym-anm

Design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.

hebo

Bayesian optimisation library developped by Huawei Noah's Ark Library

hello-world

My first repository on GitHub.

kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

malib

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

marllib

A universal MARL benchmark for research and industry

matpower

MATPOWER – steady state power flow simulation and optimization for MATLAB and Octave

multiagent-rl

The official code releasement of publications in MARL field of TJU RL lab.

mytest

nvidia-docker

Build and run Docker containers leveraging NVIDIA GPUs

omnixai

OmniXAI: A Library for eXplainable AI

open-source-power-dataset

We present PSML, a first-of-its-kind open-access multi-scale time-series dataset, to aid in the development of data-driven machine learning (ML) based approaches towards reliable operation of future electric grids.

pandapipes

A pipeflow calculation tool that complements pandapower in the simulation of multi energy grids

pandapower

Convenient Power System Modelling and Analysis based on PYPOWER and pandas

pgsim

PGSIM Simulator

powergym

A Gym-like environment for Volt-Var control in power distribution systems.