DC3: A Learning Method for Optimization with Hard Constraints
☆170Sep 18, 2021Updated 4 years ago
Alternatives and similar repositories for DC3
Users that are interested in DC3 are comparing it to the libraries listed below
Sorting:
- ☆16Aug 15, 2022Updated 3 years ago
- ☆18May 14, 2024Updated last year
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆73Apr 28, 2022Updated 3 years ago
- PyTorch utilities for Optimal Power Flow☆28Mar 17, 2025Updated 11 months ago
- ☆35Sep 18, 2022Updated 3 years ago
- ☆33Nov 27, 2024Updated last year
- Example Systems using PowerDynamics.jl☆12Oct 10, 2022Updated 3 years ago
- Code for paper: End-to-end Stochastic Optimization with Energy-based Model☆16Feb 14, 2023Updated 3 years ago
- This program implements day-ahead scheduling models (i) SCUC with daily/constant line rating and (ii) SCUC with hourly/dynamic line ratin…☆22Mar 22, 2023Updated 2 years ago
- Code for our paper Demand Response Model Identification and Behavior Forecast with OptNet: a Gradient-based Approach.☆11Jul 7, 2022Updated 3 years ago
- This repo contains data and code for Task-Aware Machine Unlearning with Application to Load Forecasting.☆13Mar 14, 2024Updated last year
- A Julia package that efficiently creates representative datasets for machine learning approaches to AC optimal power flow☆51Jun 7, 2023Updated 2 years ago
- Convex hulls of reachable sets☆14Feb 29, 2024Updated 2 years ago
- ☆27Jan 8, 2024Updated 2 years ago
- Benchmarks for the Optimal Power Flow Problem☆387Jul 24, 2023Updated 2 years ago
- This repository stores the main codes for the DeepOPF projects.☆28Nov 10, 2023Updated 2 years ago
- KVXOPT -- Python Software for Convex Optimization containing more wrappers suite-sparse.☆13Feb 22, 2026Updated 2 weeks ago
- Post-processing for fair classification☆16Jun 30, 2025Updated 8 months ago
- Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"☆13Oct 23, 2021Updated 4 years ago
- HELMpy, open source package of power flow solvers, including the Holomorphic Embedding Load Flow Method (HELM), developed on Python 3☆44Jun 7, 2023Updated 2 years ago
- Solving Optimal Power Flow with Convex Restriction☆22Mar 30, 2021Updated 4 years ago
- Learning-to-Optimize for Mixed-Integer Non-Linear Programming☆61Feb 18, 2026Updated 2 weeks ago
- ☆16Nov 4, 2021Updated 4 years ago
- This set of codes implements our NAPS paper "Reduced Optimal Power Flow Using Graph Neural Network". This work is under the open license:…☆14Feb 23, 2024Updated 2 years ago
- Enforcing robust control guarantees within neural network policies☆56Apr 24, 2021Updated 4 years ago
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆25Sep 4, 2022Updated 3 years ago
- The Machine Learning Optimizer☆104Feb 10, 2023Updated 3 years ago
- optimal power flow based on DistFlow☆19Apr 12, 2023Updated 2 years ago
- The official implementation of DIG-MILP☆14Oct 27, 2023Updated 2 years ago
- ☆30Mar 17, 2025Updated 11 months ago
- Task-based end-to-end model learning in stochastic optimization☆218Nov 29, 2020Updated 5 years ago
- Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (…☆185Dec 8, 2025Updated 3 months ago
- ☆23Aug 7, 2022Updated 3 years ago
- Differentiable convex optimization layers☆2,063Feb 27, 2026Updated last week
- OptNet: Differentiable Optimization as a Layer in Neural Networks☆576Mar 26, 2020Updated 5 years ago
- Convert CVXPY expressions to PyTorch expressions☆19Jul 8, 2025Updated 8 months ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆32Mar 18, 2024Updated last year
- Neur2SP: Neural Two-Stage Stochastic Programming☆54Mar 8, 2023Updated 3 years ago
- MIPS – MATPOWER Interior Point Solver for nonlinear optimization problems.☆16Jul 12, 2025Updated 7 months ago