Alternatives and similar repositories for scip-dagger:

Users that are interested in scip-dagger are comparing it to the libraries listed below

• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆73Updated 3 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆31Updated 4 years ago
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆50Updated 3 years ago
• pemami4911 / sinkhorn-policy-gradient.pytorch
  Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"
  ☆39Updated 6 years ago
• isl-org / NPHard
  Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
  ☆154Updated 8 months ago
• ZhiminPeng / Jacobi-ADMM
  Parallel Multi-Block ADMM with o(1/k) Convergence
  ☆14Updated 9 years ago
• martinResearch / PySparseLP
  python algorithms to solve sparse linear programming problems
  ☆29Updated last year
• qcappart / learning-DD
  Implementation of the paper "Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning".
  ☆25Updated 5 years ago
• ds4dm / learn2branch
  Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)
  ☆373Updated 3 years ago
• nmchaves / admm-for-lp
  Experiments to speed up ADMM optimization algorithm for linear & semidefinite programming
  ☆43Updated 8 years ago
• ds4dm / ml4co-competition
  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
  ☆134Updated 2 years ago
• lyeskhalil / mipGNN
  ☆26Updated 3 years ago
• cvxgrp / cvxflow
  ☆67Updated 6 years ago
• google-deepmind / neural_lns
  ☆46Updated 3 years ago
• Opt-Mucca / Adaptive-Cutsel-MILP
  Adaptive Cut Selection in Mixed-Integer Linear Programming
  ☆13Updated last year
• facebookresearch / neural-rewriter
  Learning to Perform Local Rewriting for Combinatorial Optimization
  ☆150Updated 5 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆16Updated 6 years ago
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆39Updated 10 months ago
• simonbowly / lp-generators
  Generators for linear programming instances with controllable difficulty and solution properties.
  ☆16Updated 4 years ago
• avrech / learning2cut
  Reinforcement Learning for Cut Selection
  ☆11Updated 2 years ago
• Wenbo11 / learntocut
  Code implementation for NeurIPS 2019 submission 'Reinforcement Learning for Integer Programming: Learning to Cut'
  ☆38Updated 5 years ago
• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆20Updated 11 months ago
• keskarnitish / minSQN
  Optimization using Stochastic quasi-Newton methods
  ☆43Updated 8 years ago
• xijunlee / Learning-to-Optimize-Arxiv
  The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading not…
  ☆161Updated 4 years ago
• wubaoyuan / Lpbox-ADMM
  A generic optimization method for any integer programming problem
  ☆90Updated 4 years ago
• locuslab / e2e-model-learning
  Task-based end-to-end model learning in stochastic optimization
  ☆205Updated 4 years ago
• xkianteb / ApproPO
  Reinforcement Learning with Convex Constraints
  ☆14Updated 3 years ago
• RomeoV / ml4co-competition
  Winner of NeurIPS 2021 student leaderboard. Self-bootstrapping bayesian optimization for SCIP configuration using GNNs.
  ☆13Updated 2 years ago
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆67Updated 3 years ago
• alexnowakvila / QAP_pt
  ☆28Updated 5 years ago