neural-fortran
fpm
neural-fortran | fpm | |
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3 | 12 | |
366 | 812 | |
0.5% | 1.4% | |
5.5 | 8.8 | |
13 days ago | 2 days ago | |
Fortran | Fortran | |
MIT License | MIT License |
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neural-fortran
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Fortran 2023 has been published
A few more:
https://github.com/modern-fortran/neural-fortran (disclaimer, I originally created this one)
https://github.com/BerkeleyLab/inference-engine
https://git.exeter.ac.uk/hepplestone/athena
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Any help or tips for Neural Networks on Computer Clusters
check out this, it's not really a framework but good enough to start with
- PyTorch Fortran Bindings
fpm
- Fortran Package Manager (FPM): Package Manager and Build System for Fortran
- Fortran Package Manager
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How do I use fortran github package.
Make sure you have the latest fpm binary installed somewhere so that your $PATH can see it: curl -o ~/.local/bin/fpm -L https://github.com/fortran-lang/fpm/releases/download/v0.8.2/fpm-0.8.2-linux-x86_64 && chmod 0755 ~/.local/bin/fpm
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SciPy: Interested in adopting PRIMA, but little appetite for more Fortran code
Hopefully, the SciPy community can stay open-minded about modern Fortran libraries.
Modern Fortran is quite different from Fortran 77, while being as powerful, if not more.
In addition, there has been a significant community effort on improving and modernising the legacy packages, the ecosystem, and the language itself.
With projects like LFortran (https://lfortran.org/), fpm (https://github.com/fortran-lang/fpm), and stdlib (https://github.com/fortran-lang/stdlib), I believe that Fortran will enjoy prosperity again.
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The Skills Gap for Fortran Looms Large in HPC
Anyway, first release of Fortran Package Manager was in November 2020: https://github.com/fortran-lang/fpm/releases/tag/v0.1.0 - more recently than I expected.
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[RANT] I really, really wish working with compiled languages is as easy as working with Python.
There is actually a Fortran Package Manager that will hopefully make things easier in the future. It's quite new, so it might not be entirely mature yet.
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Toward Modern Fortran Tooling and a Thriving Developer Community
Author here, so I'm biased toward Fortran, though I've been enjoying learning Rust as well. I think there are a few reasons.
First, Rust's multidimensional arrays are either limited and/or difficult to use. Fast, flexible, and ergonomic multidimensional arrays and arithmetic are essential for HPC. They are possible with Rust, but my two favorite Rust books not mentioning them suggests to me that they're not the focus of the language. This may or may not change in the future.
Second, Rust may be too complex to learn for scientists who aren't paid to write software but to do research. Fortran is opposite--multidimensional whole-array arithmetic looks like you would write it as math on a whiteboard. While scientists can sure learn to program Rust effectively, I think most scientists don't think like Rust, but they do think like Fortran. For somebody not familiar with Fortran but familiar with Python, I'd say Fortran very much feels like NumPy.
Third, such ecosystem would be built in Rust from scratch. In Fortran, most of the value is already there, but needs to be made more accessible with better and more modern tooling. For example, Fortran's fpm (https://github.com/fortran-lang/fpm) is largely modeled after Rust's Cargo because we recognize the importance of good user experience when it comes to building and packaging software. With the recent Fortran-lang efforts, we study many programming language ecosystems and communities (e.g. Python, Julia, Rust, etc.) to find what could work best for modern Fortran tooling.
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Fortran Web Framework
I recently started learning Fortran for a lark. It reminds me a lot of R, in some respects. It's clearly a very, very good language for doing the parts of one's job that are very math-centric. But it's equally underwhelming as a general purpose programming language.
Largely, I think, due to gaps in the library ecosystem. But there are other challenges. You can see from the install instructions on the linked page, for example, that Fortran still lacks a package manager.
What's interesting, though, is that that's changing. There are currently serious efforts to give it a "standard" library (https://github.com/fortran-lang/stdlib) and package manager (https://github.com/fortran-lang/fpm).
And I've been watching the new LFortran compiler (https://lfortran.org) with extreme interest.
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Assembly of course!
FPM has entered the chat https://github.com/fortran-lang/fpm
What are some alternatives?
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
stdlib - Fortran Standard Library
json-fortran - A Modern Fortran JSON API
pytorch-fortran - Pytorch bindings for Fortran
OpenCoarrays - A parallel application binary interface for Fortran 2018 compilers.
Fortran-code-on-GitHub - Directory of Fortran codes on GitHub, arranged by topic
NASTRAN-95
WRF - The official repository for the Weather Research and Forecasting (WRF) model
pyplot-fortran - For generating plots from Fortran using Python's matplotlib.pyplot 📈
ftl - The Fortran Template Library
MYSTRAN - MYSTRAN is a general purpose finite element analysis solver