Alternatives and similar repositories for Open-L2O

Users that are interested in Open-L2O are comparing it to the libraries listed below

• vis-opt-group / BLO
  Bi-level Optimization for Advanced Deep Learning
  ☆48Updated 4 years ago
• benchopt / benchmark_bilevel
  Benchmark for bi-level optimization solvers
  ☆50Updated 8 months ago
• locuslab / DC3
  DC3: A Learning Method for Optimization with Hard Constraints
  ☆168Updated 4 years ago
• JunjieYang97 / stocBiO
  Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
  ☆50Updated 4 years ago
• VITA-Group / L2O-Training-Techniques
  [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …
  ☆29Updated 4 years ago
• Xi-L / PSL-MOBO
  ☆36Updated 2 years ago
• xhchrn / MS4L2O
  ☆12Updated 2 years ago
• Edward-Sun / DIFUSCO
  Code of NeurIPS paper: arxiv.org/abs/2302.08224
  ☆241Updated last year
• ds4dm / ml4co-competition
  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
  ☆139Updated 3 years ago
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆73Updated 3 years ago
• Stalence / erdos_neu
  Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"
  ☆51Updated 3 years ago
• bhushan23 / ADMM
  Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression
  ☆159Updated 4 years ago
• stewy33 / Learning-to-Optimize
  An implementation of the 2016 meta-learning paper "Learning to Optimize" from the BAIR lab at Berkeley.
  ☆27Updated 5 years ago
• xzhang2523 / libmoon
  LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.
  ☆126Updated 10 months ago
• liujl11git / GNN-MILP
  [ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng L…
  ☆56Updated 2 years ago
• xianggebenben / dlADMM
  dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers
  ☆169Updated 2 years ago
• xie-lab-ml / deep-learning-dynamics-paper-list
  This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success o…
  ☆293Updated last year
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆121Updated last year
• xijunlee / Learning-to-Optimize-Arxiv
  The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading not…
  ☆165Updated 5 years ago
• ds4dm / learn2branch
  Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)
  ☆404Updated 4 years ago
• dbmptr / EPOSearch
  Exact Pareto Optimal solutions for preference based Multi-Objective Optimization
  ☆66Updated 3 years ago
• amazon-science / co-with-gnns-example
  ☆161Updated last year
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆66Updated 2 years ago
• ds4dm / ecole
  Extensible Combinatorial Optimization Learning Environments
  ☆361Updated last month
• liboyue / Network-Distributed-Algorithm
  Experiments for distributed optimization algorithms
  ☆85Updated 2 years ago
• MorSinay / BBO
  BBO optimiser
  ☆11Updated 6 years ago
• DIMESTeam / DIMES
  ☆46Updated 9 months ago
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆51Updated 4 years ago
• DartML / Stein-Variational-Gradient-Descent
  code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
  ☆101Updated 6 years ago
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆32Updated last year