WRF VS fastGPT

Compare WRF vs fastGPT and see what are their differences.

WRF

The official repository for the Weather Research and Forecasting (WRF) model (by wrf-model)

fastGPT

Fast GPT-2 inference written in Fortran (by certik)
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WRF fastGPT
8 3
1,309 191
2.1% 1.6%
7.7 7.4
8 days ago 11 months ago
Fortran Fortran
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

WRF

Posts with mentions or reviews of WRF. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-16.

fastGPT

Posts with mentions or reviews of fastGPT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-22.

What are some alternatives?

When comparing WRF and fastGPT you can also consider the following projects:

Full-Stack-Fortran - Fortran to WebAssembly

fiats - A deep learning library for use in high-performance computing applications in modern Fortran

E3SM - Energy Exascale Earth System Model source code. NOTE: use "maint" branches for your work. Head of master is not validated.

rwkv.f90 - Port of the RWKV-LM model in Fortran (Back to the Future!)

neural-fortran - A parallel framework for deep learning

llama2.c - Inference Llama 2 in one file of pure C

fpm - Fortran Package Manager (fpm)

fortran2018-examples - Fortran 2018 standard examples with broad applications

json-fortran - A Modern Fortran JSON API

functional-fortran - Functional programming for modern Fortran

ufs-srweather-app - UFS Short-Range Weather Application

llm.f90 - LLM inference in Fortran

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Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free.
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Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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Did you know that Fortran is
the 85th most popular programming language
based on number of references?