Alternatives and similar repositories for so-ebm:

Users that are interested in so-ebm are comparing it to the libraries listed below

• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆25Updated 10 months ago
• HxSun08 / Alt-Diff
  ☆24Updated last year
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆22Updated last year
• guaguakai / decision-focused-RL
  ☆11Updated 3 years ago
• pmichel31415 / P-DRO
  Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Paramet…
  ☆27Updated 2 years ago
• RAISELab-atUVA / lagrangian-dual-deep-learning
  ☆17Updated 3 years ago
• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆19Updated 8 months ago
• LongPham7 / Distributionally-Robust-Optimization
  Experiments with distributionally robust optimization (DRO) for deep neural networks
  ☆34Updated 5 years ago
• PredOpt / predopt-benchmarks
  ☆33Updated 5 months ago
• martius-lab / blackbox-differentiation-combinatorial-solvers
  ☆21Updated 2 years ago
• jihwan-jeong / xaddpy
  ☆12Updated 10 months ago
• LOGO-CUHKSZ / ASP
  ☆23Updated 11 months ago
• ha0ransun / Path-Auxiliary-Sampler
  ☆10Updated last year
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆28Updated 3 years ago
• caigaojiang / LLMOPT
  the training and inference code and data for LLMOPT
  ☆17Updated 3 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
• Graph-COM / DIG_MILP
  The official implementation of DIG-MILP
  ☆12Updated last year
• thjashin / rodeo
  Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)
  ☆17Updated last year
• guaguakai / surrogate-optimization-learning
  ☆16Updated 3 years ago
• 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
• allenbai01 / transformers-as-statisticians
  ☆27Updated last year
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆72Updated 2 years ago
• Baijiong-Lin / MOML
  [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning
  ☆13Updated 5 months ago
• benchopt / benchmark_bilevel
  Benchmark for bi-level optimization solvers
  ☆39Updated 2 months ago
• khalil-research / Neur2RO
  ☆25Updated 2 months ago
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆18Updated last year
• lyeskhalil / mipGNN
  ☆23Updated 3 years ago
• pnnl / L2O-pMINLP
  Differentiable Rounding Correction Layers
  ☆18Updated this week
• daniellevy / fast-dro
  PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets
  ☆58Updated 2 years ago
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆37Updated 7 months ago