☆24Jun 4, 2021Updated 4 years ago
Alternatives and similar repositories for mipGNN
Users that are interested in mipGNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆51Feb 3, 2022Updated 4 years ago
- Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)☆406Dec 21, 2021Updated 4 years ago
- Hybrid Models for Learning to Branch (NeurIPS 2020)☆51May 31, 2021Updated 4 years ago
- Code for our paper: ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generatio…☆14Jan 3, 2025Updated last year
- ☆162Feb 13, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Predict and search framework for MilP☆68Nov 20, 2022Updated 3 years ago
- Extensible Combinatorial Optimization Learning Environments☆368Dec 20, 2025Updated 3 months ago
- ☆14Dec 21, 2024Updated last year
- ☆24Feb 8, 2024Updated 2 years ago
- Reinforcement Learning for Cut Selection☆12Dec 8, 2022Updated 3 years ago
- A Julia interface to NVIDIA's cuOpt☆28Dec 30, 2025Updated 3 months ago
- JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.☆68Nov 9, 2025Updated 5 months ago
- [ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng L…☆58Aug 11, 2023Updated 2 years ago
- Generators for linear programming instances with controllable difficulty and solution properties.☆14Apr 26, 2021Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆22Mar 23, 2022Updated 4 years ago
- MIP 2024 Computational Competition☆17Jan 29, 2024Updated 2 years ago
- [NeurIPS 2023] Learning to Configure Separators in Branch-and-Cut☆21Mar 1, 2024Updated 2 years ago
- The code of paper Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. Zhihai Wang, Xijun Li,…☆63May 12, 2023Updated 2 years ago
- A collection of problem specifications in Essence.☆10Dec 4, 2025Updated 4 months ago
- Testing the performance of different tensor network architectures on MNIST classification tasks.☆11Jun 1, 2020Updated 5 years ago
- Algorithm for Fast Security-Constrained Optimal Power Flow through Low-Impact and Redundancy Screening☆12Aug 5, 2025Updated 8 months ago
- A novel general non-stationary point process model based on neural networks.☆10Sep 23, 2022Updated 3 years ago
- Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"☆38Jun 27, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Formulate trained predictors in Gurobi models☆246Updated this week
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆74Apr 28, 2022Updated 3 years ago
- Implementation of GNN ReLU branching strategies☆10Feb 13, 2021Updated 5 years ago
- ☆16Sep 17, 2019Updated 6 years ago
- A testing platform for intelligent optimization algorithm based on Matlab with CEC2013 benchmark☆12Jan 26, 2021Updated 5 years ago
- An Iterated Greedy algorithm applied in scheduling with rejection and tardiness penalties☆10Jun 21, 2022Updated 3 years ago
- ☆15Nov 4, 2021Updated 4 years ago
- Fast and reliable solver for the Optimal Power Flow Problem☆14Dec 12, 2024Updated last year
- Neur2SP: Neural Two-Stage Stochastic Programming☆53Mar 8, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆12Jan 3, 2020Updated 6 years ago
- Solving the Flow-shop scheduling problem with bruteforce, johnson's, neh and simulated annealing algorithms☆11Nov 24, 2021Updated 4 years ago
- An implementation of the 2016 meta-learning paper "Learning to Optimize" from the BAIR lab at Berkeley.☆26Dec 11, 2020Updated 5 years ago
- Plugin for obsidian to render csv syntax in codeblocks.☆12Jul 18, 2024Updated last year
- Optimization Modeling Using mip Solvers and large language models☆260Nov 4, 2025Updated 5 months ago
- Combinatorial optimization layers for machine learning pipelines☆130Nov 24, 2025Updated 4 months ago
- ACO with RL algorithm integration (Q-learning) and k-means boosted genetic applied to TSP☆10Sep 21, 2019Updated 6 years ago