Alternatives and similar repositories for LODLs

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

• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆26Updated last year
• facebookresearch / LANCER
  Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"
  ☆36Updated 2 years ago
• HxSun08 / Alt-Diff
  ☆26Updated last year
• ai4co / unsupervised-CO-ucom2
  [ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
  ☆14Updated last year
• Lingkai-Kong / so-ebm
  Code for paper: End-to-end Stochastic Optimization with Energy-based Model
  ☆16Updated 2 years ago
• Thinklab-SJTU / NAR-CO-Solver
  Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…
  ☆41Updated last year
• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆20Updated last year
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆66Updated 2 years ago
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆18Updated 2 years ago
• DanieleGammelli / graph-rl-for-network-optimization
  ☆14Updated 2 years ago
• guaguakai / decision-focused-RL
  ☆12Updated 3 years ago
• xyfffff / rethink_mcts_for_tsp
  [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
  ☆38Updated 6 months ago
• duanzhiihao / PyTorch_OLoptim
  A PyTorch implementation of various Online & Stochastic optimization algorithms for deep learning
  ☆27Updated 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
• Graph-COM / DIG_MILP
  The official implementation of DIG-MILP
  ☆14Updated last year
• sunnweiwei / CO-Bench
  Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization
  ☆27Updated 2 months ago
• Thinklab-SJTU / PredictiveCO-Benchmark
  [NeurIPS 2024 Datasets and Benchmarks Track] Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime
  ☆23Updated 6 months ago
• xzhang2523 / libmoon
  LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.
  ☆108Updated 6 months ago
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• 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 3 years ago
• ha0ransun / Path-Auxiliary-Sampler
  ☆11Updated 2 years ago
• ml-jku / DIffUCO
  ☆56Updated 4 months ago
• Graph-COM / CO_ProxyDesign
  The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'
  ☆16Updated 3 years 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
• alstn12088 / Sym-NCO
  ☆30Updated last year
• 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
• 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 …
  ☆53Updated 7 months ago
• Xi-L / PSL-MOBO
  ☆35Updated last year
• DIMESTeam / DIMES
  ☆43Updated 5 months ago
• jparkerholder / PB2
  Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.
  ☆20Updated 4 years ago