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The Top 15 Machine Learning Fortran Open Source Projects

Open source projects categorized as Machine Learning Fortran
Categories > Machine Learning > Machine Learning
Libxsmm ⭐ 789
Library for specialized dense and sparse matrix operations, and deep learning primitives.
dependent packages 1total releases 7most recent commit 16 days ago
Neural Fortran ⭐ 323
A parallel framework for deep learning
most recent commit 8 months ago
Blasjs ⭐ 272
Pure Javascript manually written 👌 implementation of BLAS, Many numerical software applications use BLAS computations, including Armadillo, LAPACK, LINPACK, GNU Octave, Mathematica, MATLAB, NumPy, R, and Julia.
dependent packages 2total releases 15most recent commit a year agonpm blasjs} Downloads
Sisso ⭐ 177
A data-driven method combining symbolic regression and compressed sensing for accurate & interpretable models.
most recent commit 7 months ago
Paramonte ⭐ 112
ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.
total releases 38most recent commit 3 years ago
Ftorch ⭐ 25
A library for directly calling PyTorch ML models from Fortran.
most recent commit 3 months ago
Fortran Tf Lib ⭐ 22
A library for directly calling TensorFlow / Keras ML models from Fortran.
most recent commit 7 months ago
Fortnet ⭐ 21
Fortnet is a Behler-Parrinello-Neural-Network implementation, written in modern Fortran.
most recent commit a year ago
Fortlearner ⭐ 21
Machine Learning Algorithms in Fortran
most recent commit 3 months ago
Railsconf2014 Ml ⭐ 20
Code for Machine Learning for Fun and Profit talk from RailsConf 2014, RubyNation 2014, Rocky Mountain Ruby 2014
most recent commit 10 years ago
Flame ⭐ 18
FLAME: a library for atomistic modeling environments
most recent commit 2 years ago
Inference Engine ⭐ 14
A deep learning library for use in high-performance computing applications in modern Fortran
most recent commit 3 months ago
Neuralnetwork ⭐ 11
Simple, parallel, object-oriented Fortran neural network
most recent commit 5 years ago
Hml ⭐ 7
Implementation of a new hybrid machine learning technique for multi-fidelity surrogates of finite elements models with applications in multi-physics modeling of soft tissues.
most recent commit 3 months ago
Util ⭐ 5
My machine learning, optimization, and data science utilities package.
most recent commit 2 years ago
The 2 Most Depended On Machine Learning Fortran Open Source Projects
The 3 Latest Releases In Machine Learning Fortran Open Source Projects
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