martius-lab / blackbox-differentiation-combinatorial-solvers

Related projects ⓘ

Alternatives and complementary repositories for blackbox-differentiation-combinatorial-solvers

• facebookresearch / CL-LNS
  Code repo for ICML'23 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
  ☆35Updated 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
• facebookresearch / LANCER
  Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"
  ☆36Updated last year
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆17Updated last year
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆27Updated 3 years ago
• facebookresearch / neural-scs
  Neural Fixed-Point Acceleration for Convex Optimization
  ☆29Updated 2 years ago
• lyeskhalil / mipGNN
  ☆21Updated 3 years ago
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆54Updated last year
• ha0ransun / Path-Auxiliary-Sampler
  ☆10Updated last year
• facebookresearch / SparseBO
  code associated with paper "Sparse Bayesian Optimization"
  ☆25Updated last year
• facebookresearch / taskmet
  TaskMet Task-driven Metric Learning for Model Learning
  ☆18Updated 9 months ago
• allenbai01 / transformers-as-statisticians
  ☆26Updated last year
• ml-jku / DIffUCO
  ☆30Updated 2 weeks ago
• ahottung / CVAE-Opt
  Learning a Latent Search Space for Routing Problems using Variational Autoencoders
  ☆24Updated 3 years ago
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆23Updated 8 months ago
• ivandariojr / LyapunovLearning
  ☆38Updated last year
• ml-jku / VAG-CO
  ☆11Updated 11 months ago
• stellatogrp / l2ws_qp
  ☆13Updated last year
• ds4dm / learn2comparenodes
  Learning to Compare Nodes in Branch and Bound with Graph Neural Networks (NeurIPS 2022)
  ☆19Updated 2 years ago
• instadeepai / memento
  Official Implementation of Memento
  ☆17Updated this week
• RomeoV / ml4co-competition
  Winner of NeurIPS 2021 student leaderboard. Self-bootstrapping bayesian optimization for SCIP configuration using GNNs.
  ☆13Updated 2 years ago
• facebookresearch / ssorl
  Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
  ☆41Updated last year
• tristandeleu / jax-comln
  Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)
  ☆27Updated 2 years ago
• ssnl / poisson_quasimetric_embedding
  Open source code for paper "On the Learning and Learnability of Quasimetrics".
  ☆32Updated last year
• danijar / elements
  Building blocks for productive research
  ☆45Updated last week
• kaist-silab / devformer
  [ICML 2023] Official code for "DevFormer: A Symmetric Transformer for Context-Aware Device Placement"
  ☆18Updated last year
• johannaSommer / generalization-neural-co-solvers
  Official Repository for the ICLR 2022 paper "Generalization of Neural Combinatorial Solvers through the Lens of Adversarial Robustness"
  ☆14Updated 2 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆35Updated 3 weeks ago
• HxSun08 / Alt-Diff
  ☆21Updated 10 months ago
• aoiang / LaMOO
  ☆28Updated 2 years ago