mjcui's Stars
nndl/nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
google-deepmind/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
HugoBlox/hugo-blox-builder
🚨 GROW YOUR AUDIENCE WITH HUGOBLOX! 🚀 HugoBlox is an easy, fast no-code website builder for researchers, entrepreneurs, data scientists, and developers. Build stunning sites in minutes. 适合研究人员、企业家、数据科学家和开发者的简单快速无代码网站构建器。用拖放功能、可定制模板和内置SEO工具快速创建精美网站!
AI4Finance-Foundation/ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
lehaifeng/T-GCN
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
rte-france/Grid2Op
Grid2Op a testbed platform to model sequential decision making in power systems.
wsshin/jemdoc_mathjax
jemdoc with MathJax support and more
Total-RD/pymgrid
pymgrid is a python library to generate and simulate a large number of microgrids.
alibaba/acqdp
Alibaba Cloud - Quantum Development Platform
yeayee/LaTeX_OCR_PRO
数学公式识别,增强:中文公式、手写公式
chennnnnyize-zz/Renewables_Scenario_Gen_GAN
The implementation of scenario generation for renewables production process
TSummersLab/Distributionally-robust-stochastic-OPF
shidi1985/L2RPN
CodaLab L2RPN: Learning to Run a Power Network
kunqian2025/reinforcement-learning
Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.
changgang/steps
Simulation Toolkit for Electrical Power Systems
matlab-deep-learning/rl-agent-based-traffic-control
Develop agent-based traffic management system by model-free reinforcement learning
amar-iastate/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
DongChen06/Python2Simulink
A bridge between Python and Matlab Simulink
mcosovic/Belief_Propagation_DC_State_Estimation
The algorithm solves the DC state estimation problem in electric power systems using the Gaussian belief propagation over factor graphs.
mcosovic/MATGRID
MATGRID is an easy-to-use power system simulation tool for researchers and educators provided as a MATLAB package.
tdcosim/TDcoSim
T&D co-simulation package
zhanjunpeng/SOE
This is the Matlab code for the Switch Opening and Exchange (SOE) method used in paper "Switch Opening and Exchange Method for Stochastic Distribution Network Reconfiguration" that has been accepted by and will be published in IEEE Transactions on Smart Grid.
BDonnot/ChroniX2Grid
nbhusal/Power_System_Dynamic_State_Estimation
nbhusal/Power-System-State-Estimation
DESL-EPFL/Point-on-wave-Data-of-EPFL-campus-Distribution-Network
Point-on-wave data collected on the 20 kV network of EPFL-campus.
gridlab-d/Taxonomy_Feeders
This Repository contains all the taxonomy feeder model files and scripts used to create them.
NREL/tda-ps
Topological Data Analysis for Power System Contingencies
FlorianShepherd/planning_benchmark
Grid Planning Benchmark Dataset for the Paper "A Hybrid Optimization Strategy Combining Network Expansion Planning and Switching State Optimization"
zhanjunpeng/awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security