Alternatives and similar repositories for Alt-Diff:

Users that are interested in Alt-Diff 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 last year
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆16Updated last year
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆25Updated 9 months ago
• pnnl / L2O-pMINLP
  Differentiable Rounding Correction Layers
  ☆17Updated last week
• guaguakai / decision-focused-RL
  ☆11Updated 3 years ago
• LongPham7 / Distributionally-Robust-Optimization
  Experiments with distributionally robust optimization (DRO) for deep neural networks
  ☆34Updated 5 years ago
• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆19Updated 8 months ago
• Graph-COM / DIG_MILP
  The official implementation of DIG-MILP
  ☆12Updated last year
• PredOpt / predopt-benchmarks
  ☆31Updated 4 months ago
• krishnap25 / sqwash
  Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.
  ☆12Updated last year
• facebookresearch / LANCER
  Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"
  ☆37Updated last year
• RAISELab-atUVA / lagrangian-dual-deep-learning
  ☆17Updated 3 years ago
• benchopt / benchmark_bilevel
  Benchmark for bi-level optimization solvers
  ☆39Updated last month
• gerrili1996 / DRLR_NIPS2019_exp
  The MATLAB source code
  ☆16Updated 5 years ago
• namkoong-lab / dro
  A package of distributionally robust optimization (DRO) methods. Implemented via cvxpy and PyTorch
  ☆58Updated this week
• 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
• martius-lab / blackbox-differentiation-combinatorial-solvers
  ☆21Updated 2 years ago
• khalil-research / Neur2RO
  ☆24Updated last month
• INFERLab / PROF
  ☆11Updated 3 years ago
• liujl11git / GNN-LP
  [ICLR 2023 spotlight] "On Representing Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, W…
  ☆29Updated last year
• Thinklab-SJTU / NAR-CO-Solver
  Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…
  ☆34Updated 3 months ago
• ykwon0407 / wdro_local_perturbation
  Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)
  ☆21Updated last year
• stellatogrp / l2ws
  ☆12Updated 8 months ago
• lyeskhalil / mipGNN
  ☆22Updated 3 years ago
• rohitkannan / DD-SAA
  Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"
  ☆11Updated 2 years ago
• daniellevy / fast-dro
  PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets
  ☆58Updated 2 years ago
• stellatogrp / mro_experiments
  ☆24Updated last year
• stellatogrp / l2ws_qp
  ☆14Updated 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
• h305142 / WDRO_coreset
  Coresets for Wasserstein Distributionally Robust Optimization Problems
  ☆10Updated 2 years ago