martius-lab / CombOptNetLinks
Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
☆72Updated 3 years ago
Alternatives and similar repositories for CombOptNet
Users that are interested in CombOptNet are comparing it to the libraries listed below
Sorting:
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆34Updated 4 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- Machine Learning for Combinatorial Optimization - NeurIPS'21 competition☆137Updated 3 years ago
- DC3: A Learning Method for Optimization with Hard Constraints☆163Updated 4 years ago
- The Machine Learning Optimizer☆105Updated 2 years ago
- Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... …☆16Updated 4 years ago
- Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"☆15Updated 4 years ago
- ☆22Updated 3 years ago
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆15Updated 4 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆243Updated 6 months ago
- Hybrid Models for Learning to Branch (NeurIPS 2020)☆50Updated 4 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆33Updated 5 years ago
- The Differentiable Cross-Entropy Method☆123Updated 5 years ago
- ☆26Updated last year
- The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'☆84Updated 4 years ago
- Learning a Latent Search Space for Routing Problems using Variational Autoencoders☆28Updated 4 years ago
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.☆20Updated last year
- Experiments with distributionally robust optimization (DRO) for deep neural networks☆39Updated 6 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
- Adaptive gradient descent without descent☆48Updated 3 years ago
- ☆43Updated 2 years ago
- Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"☆50Updated 3 years ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆45Updated 4 years ago
- ☆50Updated last year
- This repository contains code released by DiffEqML Research☆90Updated 3 years ago
- Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"☆39Updated last year
- Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)☆33Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 2 years ago
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated 2 years ago