Observed since 21 Oct, 11:24 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
Deploy locally saved machine learning models to a live rest API and web-dashboard. Share it with the world via modelshare.org
Launch machine learning models into scalable production ready prediction REST APIs using a single Python function.
Details about each model, how to use the model's API, and the model's author(s) are deployed simultaneously into a searchable website at modelshare.org.
Deployed models receive an individual Model Playground listing information about all deployed models. Each of these pages includes a fully functional prediction dashboard that allows end-users to input text, tabular, or image data and receive live predictions.
Moreover, users can build on model playgrounds by 1) creating ML model competitions, 2) uploading Jupyter notebooks to share code, 3) sharing model architectures and 4) sharing data... with all shared artifacts automatically creating a data science user portfolio.
You can then install aimodelshare from PyPi
pip install aimodelshare-nightly
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 0.0.104 | 9 May 2022 | 21 |
This describes our collected data; it is not a security assessment.
Observed since 21 Oct, 11:24 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
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