VITA-Group/Open-L2O

Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms

Language: C++ - Size: 17.6 MB - Last synced at: 14 days ago - Pushed at: almost 2 years ago - Stars: 276 - Forks: 43

MetaEvo/MetaBox

MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://proceedings.neurips.cc/paper_files/paper/2023/hash/232eee8ef411a0a316efa298d7be3c2b-Abstract-Datasets_and_Benchmarks.html)

Language: Python - Size: 324 MB - Last synced at: about 18 hours ago - Pushed at: about 18 hours ago - Stars: 106 - Forks: 12

CIAM-Group/NCO_code

L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China

Language: Python - Size: 442 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 68 - Forks: 16

MetaEvo/Awesome-MetaBBO

A collection of MetaBBO papers and code sources

Size: 2.25 MB - Last synced at: about 18 hours ago - Pushed at: about 2 months ago - Stars: 40 - Forks: 2

yining043/NeuOpt

This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", which has been accepted at NeurIPS 2023.

Language: Jupyter Notebook - Size: 132 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 31 - Forks: 2

RoyalSkye/Routing-MVMoE

[ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"

Language: Python - Size: 379 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 30 - Forks: 3

VITA-Group/L2O-Training-Techniques

[NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang

Language: Python - Size: 9.01 MB - Last synced at: 4 days ago - Pushed at: over 3 years ago - Stars: 26 - Forks: 7

sail-sg/optim4rl

Optim4RL is a Jax framework of learning to optimize for reinforcement learning.

Language: Python - Size: 129 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 24 - Forks: 2

RoyalSkye/Omni-VRP

[ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"

Language: Python - Size: 515 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 0

Shen-Lab/Bayesian-L2O

[ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen

Language: Python - Size: 3.54 MB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 1

VITA-Group/L2PG

[ICML 2023] "Learning to Optimize Differentiable Games" by Xuxi Chen, Nelson Vadori, Tianlong Chen, Zhangyang Wang

Language: Python - Size: 188 KB - Last synced at: 10 days ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 0

mines-opt-ml/fpo-dys

Operator splitting can be used to design easy-to-train models for predict-and-optimize tasks, which scale effortlessly to problems with thousands of variables.

Language: Jupyter Notebook - Size: 59.2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 7 - Forks: 0

VITA-Group/M-L2O

[ICLR 2023] "M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation" by Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang

Language: Python - Size: 30.3 KB - Last synced at: 4 days ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 0

VITA-Group/Scalable-L2O

[ECCV 2022] "Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models" by Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Awadallah, and Zhangyang Wang

Language: Python - Size: 375 KB - Last synced at: 4 days ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 1

VITA-Group/OptimizerAmalgamation

[ICLR 2022] "Optimizer Amalgamation" by Tianshu Huang, Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang

Language: Python - Size: 1.96 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 0

Bill-CJB/NHDE

Language: Python - Size: 337 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

akshaykiranjose/L2O

TF2 implementation of Learning to learn by gradient descent by gradient descent

Language: Jupyter Notebook - Size: 475 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

trxcc/Offline-RaM

Official implementation of ICLR'25 paper "Offline Model-Based Optimization by Learning to Rank"

Language: Python - Size: 68.4 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 1

Bill-CJB/EMNH

Language: Python - Size: 84.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0