Alternatives and similar repositories for blackbox-differentiation-combinatorial-solvers

Users that are interested in blackbox-differentiation-combinatorial-solvers 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}
  ☆72Updated 3 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆34Updated 4 years ago
• facebookresearch / LANCER
  Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"
  ☆37Updated 2 years ago
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆31Updated last year
• ivandariojr / LyapunovLearning
  ☆44Updated 2 years ago
• ml-jku / DIffUCO
  ☆59Updated last month
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆67Updated 2 years ago
• ds4dm / ml4co-competition
  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
  ☆139Updated 3 years ago
• Summer142857 / LLMCoSolver
  code for paper "Large Language Models as End-to-end Combinatorial Optimization Solvers"
  ☆39Updated 3 weeks ago
• LPMP / BDD
  An integer linear program solver using a Lagrange decomposition into binary decision diagrams. Lagrange multipliers are updated through d…
  ☆61Updated last year
• stellatogrp / l2ws_qp
  ☆14Updated 2 years ago
• facebookresearch / CL-LNS
  Code repo for ICML'23 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
  ☆44Updated 2 years ago
• HxSun08 / Alt-Diff
  ☆26Updated last year
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆26Updated last year
• bstellato / mlopt
  The Machine Learning Optimizer
  ☆106Updated 2 years ago
• jihwan-jeong / xaddpy
  ☆13Updated last year
• liujl11git / GNN-LP
  [ICLR 2023 spotlight] "On Representing Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, W…
  ☆37Updated last month
• Lingkai-Kong / so-ebm
  Code for paper: End-to-end Stochastic Optimization with Energy-based Model
  ☆16Updated 2 years ago
• guaguakai / decision-focused-RL
  ☆12Updated 4 years ago
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆18Updated 2 years ago
• xyfffff / rethink_mcts_for_tsp
  [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
  ☆40Updated 7 months ago
• facebookresearch / amortized-optimization-tutorial
  Tutorial on amortized optimization for learning to optimize over continuous domains
  ☆248Updated last month
• instadeepai / poppy
  Population-Based Reinforcement Learning for Combinatorial Optimization
  ☆82Updated last year
• Thinklab-SJTU / NAR-CO-Solver
  Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…
  ☆41Updated last year
• ahottung / CVAE-Opt
  Learning a Latent Search Space for Routing Problems using Variational Autoencoders
  ☆28Updated 4 years ago
• locuslab / DC3
  DC3: A Learning Method for Optimization with Hard Constraints
  ☆166Updated 4 years ago
• corail-research / learning-generic-csp
  Representing CP problems as graphs
  ☆19Updated 11 months ago
• DanieleGammelli / graph-rl-for-network-optimization
  ☆15Updated 2 years ago
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆50Updated 4 years ago
• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆20Updated last year