Alternatives and similar repositories for DC3:

Users that are interested in DC3 are comparing it to the libraries listed below

• bstellato / mlopt
  The Machine Learning Optimizer
  ☆102Updated 2 years ago
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆72Updated 2 years ago
• ANL-CEEESA / MIPLearn
  Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (…
  ☆160Updated 2 months ago
• ds4dm / ml4co-competition
  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
  ☆129Updated 2 years ago
• siemens / powergym
  A Gym-like environment for Volt-Var control in power distribution systems.
  ☆75Updated 2 years ago
• google-deepmind / neural_lns
  ☆42Updated 3 years ago
• zhengang-zhong / distributionally_robust_optimization
  ☆32Updated 3 years ago
• locuslab / robust-nn-control
  Enforcing robust control guarantees within neural network policies
  ☆54Updated 3 years ago
• ds4dm / learn2branch
  Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)
  ☆363Updated 3 years ago
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆38Updated last year
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆67Updated 3 years ago
• sribdcn / Predict-and-Search_MILP_method
  Predict and search framework for MilP
  ☆48Updated 2 years ago
• alwaysbyx / convexifying-nerual-networks
  ☆24Updated 2 years ago
• nsidn98 / NICE
  Combining Reinforcement Learning with Integer Programming for Robust Scheduling
  ☆26Updated 11 months ago
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆49Updated 3 years ago
• stellatogrp / mro_experiments
  ☆24Updated last year
• liujl11git / GNN-MILP
  [ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng L…
  ☆42Updated last year
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆38Updated 7 months ago
• hwiberg / OptiCL
  An end-to-end framework for mixed-integer optimization with data-driven learned constraints.
  ☆118Updated last year
• Wenbo11 / learntocut
  Code implementation for NeurIPS 2019 submission 'Reinforcement Learning for Integer Programming: Learning to Cut'
  ☆35Updated 5 years ago
• khalil-research / Neur2RO
  ☆25Updated 2 months ago
• VITA-Group / Open-L2O
  Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
  ☆272Updated last year
• chrisyeh96 / sustaingym
  Reinforcement Learning Environments for Sustainable Energy Systems
  ☆42Updated 8 months ago
• wgshen / sOED
  Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)
  ☆19Updated 2 years ago
• pwdemars / rl4uc
  Reinforcement learning for unit commitment
  ☆57Updated 2 years ago
• lascavana / rl2branch
  ☆17Updated 4 months ago
• Edward-Sun / DIFUSCO
  Code of NeurIPS paper: arxiv.org/abs/2302.08224
  ☆183Updated 5 months ago
• yg-smile / RL_VVC_dataset
  A Reinforcement Learning-based Volt-VAR Control Dataset
  ☆20Updated 2 years ago
• ds4dm / learn2branch-ecole
  Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)
  ☆34Updated 5 months ago
• PredOpt / predopt-benchmarks
  ☆33Updated 5 months ago