Alternatives and similar repositories for LODLs:

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

• ha0ransun / Path-Auxiliary-Sampler
  ☆10Updated last year
• HxSun08 / Alt-Diff
  ☆24Updated last year
• Thinklab-SJTU / NAR-CO-Solver
  Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…
  ☆36Updated 4 months ago
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆22Updated last year
• DIMESTeam / DIMES
  ☆40Updated 7 months ago
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆18Updated last year
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆61Updated last year
• clear-nus / NCDSSM
  PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…
  ☆24Updated last year
• Thinklab-SJTU / ROCO
  Implementation of our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graph…
  ☆20Updated 3 months ago
• Baijiong-Lin / MOML
  [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning
  ☆13Updated 5 months ago
• LJSthu / Kernelized-HRM
  The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".
  ☆12Updated 3 years ago
• facebookresearch / CL-LNS
  Code repo for ICML'23 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
  ☆37Updated last year
• Lingkai-Kong / so-ebm
  Code for paper: End-to-end Stochastic Optimization with Energy-based Model
  ☆16Updated last year
• allenbai01 / transformers-as-statisticians
  ☆27Updated last year
• automl / is_mamba_capable_of_icl
  ☆15Updated 9 months 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…
  ☆13Updated 2 years ago
• martius-lab / blackbox-differentiation-combinatorial-solvers
  ☆21Updated 2 years ago
• facebookresearch / LANCER
  Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"
  ☆36Updated last year
• jparkerholder / PB2
  Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.
  ☆20Updated 3 years ago
• LOGO-CUHKSZ / ASP
  ☆23Updated 11 months ago
• Graph-COM / CO_ProxyDesign
  The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'
  ☆15Updated 2 years ago
• Thinklab-SJTU / UP2ME
  Official implementation of our ICML 2024 paper "UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework…
  ☆23Updated 6 months ago
• Thinklab-SJTU / T2TCO
  [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
  ☆58Updated this week
• dbsxodud-11 / ls_gfn
  Official Code for Local Search GFlowNets (ICLR 2024 Spotlight)
  ☆16Updated 5 months ago
• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆26Updated 3 years ago
• thudzj / NeuralEigenFunction
  ☆16Updated 2 years ago
• Thinklab-SJTU / PredictiveCO-Benchmark
  [NeurIPS 2024 Datasets and Benchmarks Track] Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime
  ☆17Updated 3 months ago
• namkoong-lab / whyshift
  A python package providing a benchmark with various specified distribution shift patterns.
  ☆56Updated last year
• ai4co / unsupervised-CO-ucom2
  [ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
  ☆13Updated 6 months ago
• xyfffff / rethink_mcts_for_tsp
  [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
  ☆29Updated 5 months ago