VITA-Group / Open-L2OLinks
Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
☆281Updated 2 years ago
Alternatives and similar repositories for Open-L2O
Users that are interested in Open-L2O are comparing it to the libraries listed below
Sorting:
- Benchmark for bi-level optimization solvers☆46Updated last month
- Bi-level Optimization for Advanced Deep Learning☆46Updated 3 years ago
- DC3: A Learning Method for Optimization with Hard Constraints☆158Updated 3 years ago
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆206Updated 10 months ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆49Updated 3 years ago
- ☆36Updated last year
- ☆11Updated last year
- Machine Learning for Combinatorial Optimization - NeurIPS'21 competition☆135Updated 2 years ago
- [ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng L…☆51Updated last year
- LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.☆101Updated 3 months ago
- Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression☆155Updated 3 years ago
- The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading not…☆164Updated 4 years ago
- Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)☆380Updated 3 years ago
- ☆155Updated last year
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆26Updated 3 years ago
- Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"☆49Updated 3 years ago
- ☆44Updated 9 months ago
- dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers☆161Updated 2 years ago
- Evolution of Heuristics☆181Updated 5 months ago
- Extensible Combinatorial Optimization Learning Environments☆346Updated 2 months ago
- This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success o…☆278Updated last year
- Experiments for distributed optimization algorithms☆75Updated 2 years ago
- Neural Tangent Kernel Papers☆115Updated 6 months ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆65Updated 3 years ago
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆66Updated 2 years ago
- Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)☆231Updated 3 years ago
- [JMLR (CCF-A)] PyPop7: A Pure-Python LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (from e…☆250Updated last week
- Predict and search framework for MilP☆58Updated 2 years ago
- Hybrid Models for Learning to Branch (NeurIPS 2020)☆50Updated 4 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆100Updated 6 years ago