jqin020's Stars
VisionRush/DeepFakeDefenders
Image forgery recognition algorithm
metab0t/PyOptInterface
Efficient modeling interface for mathematical optimization in Python
ShiArthur03/ShiArthur03
yh-yao/FedGCN
Official Code for FedGCN [NeurIPS 2023]
wuch15/FedPerGNN
code of FedGNN
dss-extensions/OpenDSSDirect.py
OpenDSSDirect.py: a cross-platform Python package that implements a native/direct library interface to the alternative OpenDSS engine from DSS-Extensions.org
manajalali/Probabilistic-Hosting-Capacity-Analysis
OpenMined/PySyft
Perform data science on data that remains in someone else's server
rockstaedt/DecentralOPF.jl
A framework to solve a decentralized OPF with the help of ADMM
grid-parity-exchange/Egret
Tools for building power systems optimization problems
codewithsadee/vcard-personal-portfolio
vCard is a fully responsive personal portfolio website, responsive for all devices.
paperswithcode/ai-deadlines
:alarm_clock: AI conference deadline countdowns
gridlab-d/Taxonomy_Feeders
This Repository contains all the taxonomy feeder model files and scripts used to create them.
SimplifyJobs/Summer2025-Internships
Collection of Summer 2025 tech internships!
IssamLaradji/sls
Implements stochastic line search
haven-ai/haven-ai
To Run, Manage and Visualize Large Scale Experiments
power-grid-lib/pglib-uc
Benchmarks for the Unit Commitment Problem
google-deepmind/neural_lns
NVlabs/FourCastNet
Initial public release of code, data, and model weights for FourCastNet
IssamLaradji/sps
Official code for the Stochastic Polyak step-size optimizer
scipopt/MatlabSCIPInterface
Interface from Matlab to SCIP and SCIP-SDP
wzyfrank/IEEE123
optimal power flow IEEE 123 node test feeder
hafezbazrafshan/three-phase-modeling
This repository provides MATLAB scripts that construct the bus admittance matrix for several multi-phase distribution networks and computes the load-flow solution via the Z-Bus method.
gisel-uninorte/SimpleDistributionPowerFlow.jl
Powerflow for unbalanced three-phase power distribution systems with distributed generation
pedropa1/three_phase_opf_formulation
This project is related to the implementation in Pyomo of a three-phase optimal power flow formulation developed by Pedro P. Vergara from Delft University of Technology (TU Delft).
learning-zone/website-templates
150+ HTML5 Website Templates
jqin020/Emsemble-Deep-RL-for-UC-problems
openEDI/oedisi-ieee123
Our model of IEEE123 with a few changes.
TSummersLab/Distributionally-robust-stochastic-OPF
guojunyao419/OPF-ADMM
Using Alternating Direction Method of Multipliers to solve AC Optimal Power Flow Problem