khalil-research / PyEPO
A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
☆525Updated 2 weeks ago
Alternatives and similar repositories for PyEPO:
Users that are interested in PyEPO are comparing it to the libraries listed below
- Extensible Combinatorial Optimization Learning Environments☆339Updated 2 years ago
- Robust Stochastic Optimization Made Easy☆311Updated 5 months ago
- Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (…☆169Updated 4 months ago
- Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)☆373Updated 3 years ago
- Formulate trained predictors in Gurobi models☆230Updated 2 weeks ago
- Code for the paper "Smart 'Predict, then Optimize'"☆75Updated 8 months ago
- An end-to-end framework for mixed-integer optimization with data-driven learned constraints.☆123Updated last year
- Recent research papers about Foundation Models for Combinatorial Optimization☆276Updated this week
- A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)☆557Updated last week
- Machine Learning for Combinatorial Optimization - NeurIPS'21 competition☆133Updated 2 years ago
- Efficient modeling interface for mathematical optimization in Python☆265Updated last month
- Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)☆226Updated 3 years ago
- ☆123Updated 6 months ago
- The Machine Learning Optimizer☆104Updated 2 years ago
- The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading not…☆161Updated 4 years ago
- Environments for OR and RL Research☆405Updated last year
- DC3: A Learning Method for Optimization with Hard Constraints☆155Updated 3 years ago
- Neur2SP: Neural Two-Stage Stochastic Programming☆43Updated 2 years ago
- Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization☆190Updated 4 years ago
- ☆46Updated 3 years ago
- ☆402Updated last year
- Data-driven APIs for common optimization tasks☆159Updated last month
- Represent trained machine learning models as Pyomo optimization formulations☆311Updated 2 weeks ago
- Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)☆68Updated 3 years ago
- This repository is the the implementation of the JAIR paper: https://doi.org/10.1613/jair.1.15320. This repository provides the codebase …☆37Updated last month
- Awesome machine learning for combinatorial optimization papers.