Hi, This seems somewhat similar but less complete than `skops.io`. You might wanna have a look there: https://github.com/skops-dev/skops/
On Thu, Sep 28, 2023 at 3:22 PM Sepand Haghighi via scikit-learn < scikit-learn@python.org> wrote: > Dear all, > > We are thrilled to introduce PyMilo, an open-source Python package that > can revolutionize the way you transport pre-trained machine-learning > models. PyMilo offers an efficient, secure, and transparent method that > aims to eliminate the risks associated with binary or pickle formats. > > *Why PyMilo?* > > The motivation behind developing this package is simple but significant: > to provide a safer and more reliable way to share machine learning models. > As we embark on this journey, we acknowledge that PyMilo is still in its > early stages of development. Currently, it supports only a limited number > of machine learning models provided by Scikit-learn. > > *Your Feedback Matters* > > We firmly believe in the power of community collaboration. This is why > we're reaching out to you, the Scikit-learn users, to ask for your support > in utilizing PyMilo and providing us with your invaluable feedback. Your > insights can help us enhance the package's interface and prioritize future > developments. > > *How You Can Contribute* > > - Try PyMilo with your *Scikit-learn* models and let us know about your > experience. > - Share your thoughts on improving PyMilo's functionality and usability. > - Report any issues or bugs you encounter. > > Your cooperation would be precious to us as we work towards making PyMilo > a robust and indispensable tool for the machine learning community. > > *Get Started* > > To start using PyMilo, you can find detailed documentation and > installation instructions on our GitHub repository: > > GitHub - openscilab/pymilo: PyMilo: Python for ML I/O > <https://github.com/openscilab/pymilo> > > GitHub - openscilab/pymilo: PyMilo: Python for ML I/O > > PyMilo: Python for ML I/O. Contribute to openscilab/pymilo development by > creating an account on GitHub. > <https://github.com/openscilab/pymilo> > > > > Join us in shaping the future of model transportation with Pymilo! > > Thank you for your time and support. We look forward to your active > participation in this exciting endeavor. > > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn >
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