Alternatives and similar repositories for LODLs

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

• Lingkai-Kong / so-ebm
  Code for paper: End-to-end Stochastic Optimization with Energy-based Model
  ☆16Updated 2 years ago
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆24Updated last year
• facebookresearch / LANCER
  Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"
  ☆36Updated last year
• HxSun08 / Alt-Diff
  ☆25Updated last year
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆18Updated last year
• Thinklab-SJTU / ROCO
  Official Implementation of Our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers…
  ☆20Updated 7 months ago
• Thinklab-SJTU / NAR-CO-Solver
  Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…
  ☆40Updated 8 months ago
• guaguakai / decision-focused-RL
  ☆11Updated 3 years ago
• DIMESTeam / DIMES
  ☆42Updated last month
• ha0ransun / Path-Auxiliary-Sampler
  ☆11Updated 2 years ago
• PredOpt / predopt-benchmarks
  This repository is the the implementation of the JAIR paper: https://doi.org/10.1613/jair.1.15320. This repository provides the codebase …
  ☆46Updated 2 months ago
• ruchtem / cosmos
  This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.
  ☆39Updated 4 years ago
• xyfffff / rethink_mcts_for_tsp
  [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
  ☆37Updated 2 months ago
• pmichel31415 / P-DRO
  Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Paramet…
  ☆28Updated 3 years ago
• martius-lab / blackbox-differentiation-combinatorial-solvers
  ☆22Updated 3 years ago
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆64Updated 2 years ago
• khalil-research / Multi-Task_Predict-then-Optimize
  Multi-task end-to-end predict-then-optimize
  ☆12Updated 2 years ago
• gnobitab / MultiObjectiveSampling
  ☆17Updated 3 years ago
• ahottung / CVAE-Opt
  Learning a Latent Search Space for Routing Problems using Variational Autoencoders
  ☆26Updated 3 years ago
• Baijiong-Lin / MOML
  [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning
  ☆15Updated 10 months ago
• RAISELab-atUVA / lagrangian-dual-deep-learning
  ☆19Updated 3 years ago
• dbmptr / EPOSearch
  Exact Pareto Optimal solutions for preference based Multi-Objective Optimization
  ☆65Updated 2 years ago
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆20Updated last year
• Graph-COM / Meta_CO
  the official repository of the paper unsupervised learning for combinatorial optimization needs meta learning
  ☆9Updated 2 years ago
• Graph-COM / CO_ProxyDesign
  The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'
  ☆16Updated 2 years ago
• LJSthu / Kernelized-HRM
  The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".
  ☆12Updated 3 years ago
• Shen-Lab / Bayesian-L2O
  [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…
  ☆14Updated 2 years ago
• automl / is_mamba_capable_of_icl
  ☆18Updated last year
• Graph-COM / DIG_MILP
  The official implementation of DIG-MILP
  ☆14Updated last year