Stars
Federated Learning Demo in Python using Socket Programming
Formulate trained predictors in Gurobi models
Distributed Optimization: Analysis and Synthesis via Circuits
TragerJoswig-Jones / DeepOPF-V
Forked from wanjunhuang/hwjcodeA fork of @wanjunhuang's repository for the DeepOPF-V machine learning approach to solving AC optimal power flow. This is part of a repository being used to compare different machine learning appro…
Tutorial on Benders decomposition and acceleration techniques
Optimization package for the Security-Constrained Unit Commitment Problem
Continental United States Distributed Energy Resources(DER) Dataset
Quantile Regression Forests compatible with scikit-learn.
A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
Learning-to-Optimize for Mixed-Integer Non-Linear Programming
MATPOWER Extras - contributed and/or unsupported MATPOWER-related code
👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
Official implementation of "Conformal prediction for multi-dimensional time series by ellipsoidal sets" (ICML 2024 spotlight)
a probabilistic forecasting algorithm for regional PV power output along with a dataset of regional PV power outputs and nwp collected from public sources
PyTorch implementation of the ICML 2020 paper "Latent Bernoulli Autoencoder"
Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
Embed trained machine learning predictors into JuMP models
Differentiable Optimization-Based Modeling for Machine Learning
Conditional kernel Distributionally Robust Optimization
Sensible extensions for exposing torch in Julia.