Alternatives and similar repositories for SurCo:

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

• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆27Updated 11 months ago
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆24Updated last year
• facebookresearch / taskmet
  TaskMet Task-driven Metric Learning for Model Learning
  ☆19Updated last year
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆30Updated 4 years ago
• facebookresearch / CL-LNS
  Code repo for ICML'23 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
  ☆38Updated last year
• martius-lab / blackbox-differentiation-combinatorial-solvers
  ☆22Updated 2 years ago
• mit-wu-lab / learning-to-configure-separators
  [NeurIPS 2023] Learning to Configure Separators in Branch-and-Cut
  ☆21Updated last year
• facebookresearch / LANCER
  Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"
  ☆36Updated last year
• 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 …
  ☆35Updated this week
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆72Updated 2 years ago
• Thinklab-SJTU / NAR-CO-Solver
  Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…
  ☆38Updated 5 months ago
• guaguakai / surrogate-optimization-learning
  ☆17Updated 4 years ago
• 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
• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆13Updated 3 years ago
• thanhnguyentang / offline_neural_bandits
  An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…
  ☆13Updated 3 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆16Updated 6 years ago
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆38Updated 8 months ago
• cornell-orie / ORSuite
  ☆16Updated last year
• ha0ransun / Path-Auxiliary-Sampler
  ☆10Updated 2 years ago
• guaguakai / decision-focused-RL
  ☆11Updated 3 years ago
• Lingkai-Kong / so-ebm
  Code for paper: End-to-end Stochastic Optimization with Energy-based Model
  ☆16Updated 2 years ago
• google-research / tf-opt
  ☆39Updated 4 months ago
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• rtm2130 / MST
  Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees
  ☆16Updated last year
• radar-research-lab / MFGLib
  A library for mean-field games.
  ☆49Updated this week
• lascavana / rl2branch
  ☆17Updated 5 months ago
• ml-jku / DIffUCO
  ☆43Updated 2 weeks ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆28Updated 2 years ago
• DanieleGammelli / graph-meta-rl-for-amod
  Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"
  ☆14Updated 3 years ago
• tedmoskovitz / WNPG
  implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies
  ☆11Updated 4 years ago