scientific-computing/FKB
A two-way deep learning bridge between Keras and Fortran
This project helps scientific researchers and engineers integrate advanced deep learning models into their high-performance Fortran simulations. It allows you to take a trained neural network from Keras, convert it into a Fortran-compatible format, and then use it directly within your Fortran code. This is for computational scientists and engineers who need to leverage modern AI techniques within their existing Fortran-based scientific computing workflows.
187 stars. No commits in the last 6 months.
Use this if you need to deploy deep learning models trained in Keras directly into Fortran applications for scientific computing or simulations where performance and existing codebases are critical.
Not ideal if you are exclusively working in Python environments or do not have a need to integrate deep learning with Fortran.
Stars
187
Forks
40
Language
Fortran
License
MIT
Category
Last pushed
Feb 23, 2024
Commits (30d)
0
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