process-intelligence-research / ReLU_ANN_MILP
With this package, you can generate mixed-integer linear programming (MIP) models of trained artificial neural networks (ANNs) using the rectified linear unit (ReLU) activation function. At the moment, only TensorFlow sequential models are supported. Interfaces to either the Pyomo or Gurobi modeling environments are offered.
☆62Updated 3 years ago
Alternatives and similar repositories for ReLU_ANN_MILP:
Users that are interested in ReLU_ANN_MILP are comparing it to the libraries listed below
- Modeling robust optimization problems in Pyomo☆82Updated 2 years ago
- A collection of tools (classes, functions, etc.) for developing MINLP algorithms☆35Updated last year
- Special Structure Detection for Pyomo☆27Updated 2 years ago
- An extensible MINLP solver☆43Updated 2 years ago
- ☆59Updated last week
- Multiobjective black-box optimization using gradient-boosted trees☆58Updated last month
- Represent trained machine learning models as Pyomo optimization formulations☆311Updated 2 weeks ago
- Benchmarking script for MindtPy solvers in the pyomo framework solving MINLP instance. This was created as part of my bachelor thesis dur…☆11Updated 4 years ago
- The MIP Workshop 2023 Computational Competition☆41Updated last year
- Official implementation of the paper “Limeade: Let integer molecular encoding aid”☆30Updated last week
- Parallel solution of structured nonlinear optimization problems☆13Updated 11 months ago
- Prescient production cost modeling platform☆34Updated last year
- Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (…☆169Updated 4 months ago
- OptiChat: Explaining Optimization Models Using LLMs☆22Updated last week
- MPI-based Stochastic Programming in PYthon☆73Updated last week
- ☆26Updated 4 months ago
- A Julia package that efficiently creates representative datasets for machine learning approaches to AC optimal power flow☆43Updated last year
- Building a Fischer–Tropsch reactive distillation simulator using Pyomo☆13Updated 6 years ago
- ☆18Updated last week
- An end-to-end framework for mixed-integer optimization with data-driven learned constraints.☆122Updated last year
- Benchmarks for the Unit Commitment Problem☆95Updated 10 months ago
- Optimisation and Analysis Toolbox for Power Systems☆29Updated 4 months ago
- MVRSM algorithm for optimising mixed-variable expensive cost functions.☆12Updated last month
- Workshop tutorials for Pyomo.DoE☆11Updated last week
- Learning-to-Optimize for Mixed-Integer Non-Linear Programming☆30Updated 3 weeks ago
- Formulate trained predictors in Gurobi models☆230Updated 2 weeks ago
- A package for solving optimal power flow problems using distributed algorithms.☆30Updated last year
- ☆17Updated 2 years ago
- A solver for mixed-integer nonlinear optimization problems☆121Updated 2 weeks ago
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆17Updated last year