modern-fortran/neural-fortran
A parallel framework for deep learning
This project helps scientific and engineering professionals build and train deep learning models using Fortran. You provide your numerical data, define a neural network architecture, and the framework outputs a trained model capable of making predictions or classifications. It's designed for researchers and engineers working with large datasets who need high-performance computing capabilities.
462 stars.
Use this if you are a scientific researcher or engineer needing to implement parallel deep learning models with Fortran for high-performance computing tasks.
Not ideal if you prefer Python-based deep learning frameworks like TensorFlow or PyTorch, or if you don't require parallel processing for your models.
Stars
462
Forks
104
Language
Fortran
License
MIT
Category
Last pushed
Mar 04, 2026
Commits (30d)
0
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