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@acceleratedscience

Accelerated Discovery

README.md

Accelerated Science

Open Accelerated Discovery for Drug and Materials Discovery

OpenAD simplifies access to scientific discovery AI models and services, APIs, and visualizations through an intuitive user toolkit. This enables data scientists and application developers to easily enhance or develop their innovative scientific discovery applications.

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Key Repositories

OpenAd toolkit

github.com/acceleratedscience/open-ad-toolkit Installable toolkit that can be accessed through a simple API, Jupyter Notebook Magic commands and command line for Accessing, Managing and through AI generating Datasets and properties for Small Molecules and Proteins.

OpenAD Model Service for Bio Medical Foundation Model Small Molecule Properties

BMFM Small Molecule Properties

OpenAD Model Service for Bio Medical Foundation Model Protein Properties

BMFM Protein Properties

OpenAD Model Wrapper

Wrapper for creating a Open AD Model Service, Services can be run locally as a Pyenv or COntainer or deployed on OpenShift / Kubernetes openad_service_utils

OpenAD Proxy for Model services

Secure Model Proxy Simple Proxy for delivering secure model services in on Openshift/Kubernetes or through a fire wall

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  1. openad-toolkit openad-toolkit Public

    Open Accelerated Discovery Toolkit

    JavaScript 12 3

  2. openad_service_utils openad_service_utils Public

    Utility library to extend an existing model to OpenAD Toolkit and give it an API interface.

    Python

  3. openad-service-bmfm-sm openad-service-bmfm-sm Public

    Python

  4. openad-plugin-rxn openad-plugin-rxn Public

    RXN plugin for OpenAD

    Jupyter Notebook

  5. openad-plugin-ds openad-plugin-ds Public

    Deep Search plugin for OpenAD

    Jupyter Notebook

Repositories

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