VITA-Group / Open-L2OLinks
Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
☆283Updated 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:
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆220Updated last year
- DC3: A Learning Method for Optimization with Hard Constraints☆162Updated 3 years ago
- Bi-level Optimization for Advanced Deep Learning☆47Updated 3 years ago
- Benchmark for bi-level optimization solvers☆48Updated 3 months ago
- Machine Learning for Combinatorial Optimization - NeurIPS'21 competition☆137Updated 3 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆50Updated 3 years ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆28Updated 3 years ago
- [ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng L…☆52Updated 2 years ago
- Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"☆49Updated 3 years ago
- ☆35Updated last year
- ☆11Updated 2 years ago
- Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)☆380Updated 3 years ago
- LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.☆106Updated 5 months ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆72Updated 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
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆65Updated 3 years ago
- The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading not…☆164Updated 4 years ago
- Hybrid Models for Learning to Branch (NeurIPS 2020)☆50Updated 4 years ago
- Neural Tangent Kernel Papers☆116Updated 8 months ago
- Code implementation for NeurIPS 2019 submission 'Reinforcement Learning for Integer Programming: Learning to Cut'☆40Updated 6 years ago
- dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers☆167Updated 2 years ago
- Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)☆235Updated 4 years ago
- Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression☆157Updated 3 years ago
- An implementation of the 2016 meta-learning paper "Learning to Optimize" from the BAIR lab at Berkeley.☆23Updated 4 years ago
- ☆159Updated last year
- Extensible Combinatorial Optimization Learning Environments☆352Updated 4 months ago
- This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success o…☆288Updated last year
- Experiments for distributed optimization algorithms☆79Updated 2 years ago
- ☆43Updated 4 months ago
- [ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression v…☆24Updated 2 months ago