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action-branching-agents

[AAAI 2018] TensorFlow implementation of Action Branching Architectures for Deep Reinforcement Learning.

ames-v4.0

antares_simulator

batch-ppo

Efficient Batched Reinforcement Learning in TensorFlow

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

deep-reinforcement-learning-in-large-discrete-action-spaces

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

dl4j-examples

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

dpsim

Real-time power system simulator (powerflow, dynamic phasors, EMT)

graphneuralsolver_powerflow

Graph Neural Solver applied to power flow (non-linear equations)

gridcal

GridCal, a power systems solver written in Python with user interface and embedded python console

handful-of-trials

Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

l2rpn

CodaLab L2RPN: Learning to Run a Power Network

l2rpn-using-a3c

Reinforcement Learning using the Actor-Critic framework for the L2RPN challenge (https://l2rpn.chalearn.org/ & https://competitions.codalab.org/competitions/22845#learn_the_details-overview). The agent trained using this code was one of the winners of the challenge. The code runs on the pypownet environment (https://github.com/MarvinLer/pypownet). It is released under a license of LGPLv3

leap_net

This repository implements the necessary algorithm and data generation process to reproduce the results published around LEAP Net.

mars

Mars is a tensor-based unified framework for large-scale data computation.

matplotlib-multilayer-network

small template code to create a multilayer network using matplotlib and networkx

mbbl

mpc.pytorch

A fast and differentiable model predictive control (MPC) solver for PyTorch.

multitensor

Multilayer network tensor factorization, for community detection, link prediction and measure layer interdependence.

nn_dynamics

nous

NOUS: Construction, Querying and Reasoning with Knowledge Graphs

p3c

Alibaba Java Coding Guidelines pmd implements and IDE plugin

pointer-networks

Pointer Networks Implementation in Keras

power_network_clustering

Graph Partitioning Algorithms for Control of AC Transmission Networks

py3plex

Py3plex - A multilayer complex network visualization and analysis library in python3

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

renewables_scenario_gen_gan

The implementation of scenario generation for renewables production process

spinningup-workshop

For educational materials related to the spinning up workshops.

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

supervised-reptile

Reptile on supervised meta-learning datasets