ReLU_ANN_MILP

ReLU_ANN_MILP

process-intelligence-research

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.

64 Stars
7 Forks
64 Watchers
Python Language
mit License
Cost to Build
$79.1K
Market Value
$171.6K

Growth over time

6 data points  ·  2022-01-01 → 2025-09-01
Stars Forks Watchers
💬

How do you feel about this project?

Ask AI about ReLU_ANN_MILP

Question copied to clipboard

What is the process-intelligence-research/ReLU_ANN_MILP GitHub project? Description: "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.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone ReLU_ANN_MILP

Clone via HTTPS

git clone https://github.com/process-intelligence-research/ReLU_ANN_MILP.git

Clone via SSH

[email protected]:process-intelligence-research/ReLU_ANN_MILP.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the ReLU_ANN_MILP issue tracker:

Open GitHub Issues