Skip to main content

Deploy locally saved machine learning models to a live rest API and web-dashboard. Share it with the world via modelshare.org

Project description

aimodelshare

The mission of the AI Model Share Platform (website w/ integrated Python library) is to provide a trusted non profit repository for machine learning model prediction APIs (python library + integrated website at modelshare.org. A beta version of the platform is currently being used by Columbia University students, faculty, and staff to test and improve platform functionality.

In a matter of seconds, data scientists can launch a model into this infrastructure and end-users the world over will be able to engage their machine learning models.

  • 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.

Use the aimodelshare Python library to deploy your model, create a new ML competition, and more.

Find model playground web-dashboards to generate predictions now.

Installation

You can then install aimodelshare from PyPi

pip install aimodelshare

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aimodelshare-0.1.9.tar.gz (905.3 kB view details)

Uploaded Source

Built Distribution

aimodelshare-0.1.9-py3-none-any.whl (975.8 kB view details)

Uploaded Python 3

File details

Details for the file aimodelshare-0.1.9.tar.gz.

File metadata

  • Download URL: aimodelshare-0.1.9.tar.gz
  • Upload date:
  • Size: 905.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for aimodelshare-0.1.9.tar.gz
Algorithm Hash digest
SHA256 53861ccb186a08b1bbe4438dd606688fe635714e66785f0968d8710070f34eda
MD5 678b68e223a8f0ca369f333e91c9c795
BLAKE2b-256 921b5990f7c62044a2ad0776737091765068646eecee14dd251c5ea3732caeb0

See more details on using hashes here.

File details

Details for the file aimodelshare-0.1.9-py3-none-any.whl.

File metadata

  • Download URL: aimodelshare-0.1.9-py3-none-any.whl
  • Upload date:
  • Size: 975.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for aimodelshare-0.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 3d661d7b33c6911a56d2b30f81a788f1ed84d7de411eeffdeb2ef309682d27b1
MD5 1fed365833e5f86e176cd9bcd4ffa879
BLAKE2b-256 038c822b29dc3d74980b5e5a13fc06b961609debd66e3b298f13f6f303ac29d4

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page