Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
☆298Jun 9, 2023Updated 3 years ago
Alternatives and similar repositories for Open-L2O
Users that are interested in Open-L2O are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆29Dec 30, 2021Updated 4 years ago
- [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…☆15Dec 30, 2021Updated 4 years ago
- [NeurIPS 2019] LOIS: Learning to Optimize In Swarms, guided by posterior estimation☆18Aug 14, 2021Updated 5 years ago
- Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"☆71Jul 6, 2023Updated 3 years ago
- Ada-LISTA: Learned Solvers Adaptive to Varying Models☆11Feb 18, 2020Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading not…☆165Nov 2, 2020Updated 5 years ago
- [ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Y…☆79Dec 31, 2021Updated 4 years ago
- Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)☆416Dec 21, 2021Updated 4 years ago
- [NeurIPS'18, Spotlight oral] "Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds", by Xiaohan Chen*…☆65Dec 30, 2021Updated 4 years ago
- ☆27Dec 25, 2022Updated 3 years ago
- ☆13Aug 2, 2023Updated 3 years ago
- ☆22May 27, 2018Updated 8 years ago
- The official code for [ECCV2020] "HALO: Hardware-aware Learning to Optimize"☆10Mar 22, 2023Updated 3 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Aug 19, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).☆42Dec 7, 2021Updated 4 years ago
- The Machine Learning Optimizer☆105Feb 10, 2023Updated 3 years ago
- Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"☆54Apr 22, 2022Updated 4 years ago
- [ICML 2021] "Efficient Lottery Ticket Finding: Less Data is More" by Zhenyu Zhang*, Xuxi Chen*, Tianlong Chen*, Zhangyang Wang☆26Dec 30, 2021Updated 4 years ago
- A Neural Separation Algorithm for the Rounded Capacity Inequalities (IJOC, 2024)☆16Feb 20, 2024Updated 2 years ago
- ☆47Apr 30, 2025Updated last year
- Extensible Combinatorial Optimization Learning Environments☆372Dec 20, 2025Updated 7 months ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆263Oct 5, 2025Updated 10 months ago
- [ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“☆24Dec 30, 2021Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A benchmarking suite for maximum independent set solvers.☆53Feb 3, 2024Updated 2 years ago
- Awesome machine learning for combinatorial optimization papers.☆2,161Jul 19, 2026Updated 3 weeks ago
- ☆16Jul 18, 2019Updated 7 years ago
- LP presolver☆36Updated this week
- [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…☆124Dec 29, 2021Updated 4 years ago
- ☆11Apr 12, 2020Updated 6 years ago
- MetaBox: Benchmarking Platform for Meta-Black-Box Optimization☆170Oct 10, 2025Updated 10 months ago
- Official implementation of IJCAI'24 paper "Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferra…☆25May 15, 2024Updated 2 years ago
- Fast hyperparameter settings for non-smooth estimators:☆42May 22, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"☆82Jun 3, 2025Updated last year
- [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, S…☆26Dec 30, 2021Updated 4 years ago
- ☆18Aug 19, 2024Updated 2 years ago
- ☆18Dec 6, 2021Updated 4 years ago
- Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search☆28Feb 6, 2020Updated 6 years ago
- The code for Differentiable Linearized ADMM (ICML 2019)☆36Oct 9, 2019Updated 6 years ago
- Pytorch implementation of Stable Opponent Shaping (https://openreview.net/pdf?id=SyGjjsC5tQ).☆21Jan 15, 2020Updated 6 years ago