Welcome to Open Exchange

At InterSystems, we deeply appreciate the rapid innovation enabled by open-source development. Our team acknowledges the significant impact of the community's dedication, which has been a driving force behind the evolution of software and data technology.

Top contributors

Featured applications

23 Application(s)
Filter
Show only
Last release on OEX
Categories
Works with
Industry
Clear filters
Application NameDeveloperMade withRatingLast updatedViewsInstalls

AutoML Churn Predict Showroom

InterSystems IRIS AutoML Showroom

Yuri Marx
Docker
IPM
ML
ML
5.0 (1)12 May, 2024 90

Hackupc24_inter

Text-to-video application based on user photos.

J
Jonathan Rodríguez Barja
Python
AI
0.0 (0)05 May, 2024 130

InterSystems Ideas Waiting to be Implemented

AI extensibility Prompt keyword for Class and Method implementation. Also Prompt macro generator.

To accelerate capability of growing code generation. This proposal suggests new extensibility facilities and hooks that can be democratized to community and / or fulfilled by commercial partners. To add Training metadata to Refine a Large Language Model for code, a "Prompt Input" is associated with an expected "Code Output", as part of a class definition. This provide structured keywords to describe: * The expected output * And / Or Chain-of-thought to generate the correct output | /// The following Prompt describes the full implementation of the class Class alwo.Calculator [Abstract, Prompt = "Provides methods to Add, Subtract, Multiply and divide given numbers." ] { /// The following Prompt describes the full implementation of the method ClassMethod Add(arg1 As %Float, arg2 As %Float) As %Float [ Prompt ="Add numeric arguments and return result." ] { return arg1 + arg2 } ClassMethod Subtract(arg1 as %Float, arg2 As %Float) { &Prompt("Subtract numeric arguments and return result") ) } | The Prompt macro generates code based on the context of the method it is within. Once resolved, it automatically comments out the processed macro. | ClassMethod Subtract(arg1 as %Float, arg2 As %Float) { //&Prompt("Subtract arguments and return the result") return arg1 - arg2 //&Prompt("Model alwogen-objectscript-7.1.3") ) | The generator leveraged at compilation time could be configured in a similar way to how source control is configured for a namespace. Configuration could lock / exclude packages from being processed in this way. A "\prompt" compilation flag could be used to control the default environment behavior and editor compilation behavior. For example to force reprocessing of previously resolved prompts due to a newer more capable version of code Large Language Model, then a "\prompt=2" could be applied. Different models or third-party services could be applied depending the language of the given method. When redacting source code by "deployment", the existing "deploy" facility could be extended to also ensure removal of "Prompt" metadata from code.

A
by Alex Woodhead

3

Votes

1

Comments
Vote

iris-fhirsqlbuilder-dbt-integratedml

Demonstration of building predictive models trained on FHIR data

Thomas Dyar
Docker
Python
AI
ML
ML
0.0 (0)29 Mar, 2024 104

interoperability-integratedml-adapter

An IRIS Interoperability adapter to use ML models managed by IRIS IntegratedML

José Pereira
Docker
IPM
ML
ML
5.0 (1)25 Mar, 2024 222 38

QuinielaML

Soccer match predictions with IntegratedML

Luis Angel Pérez Ramos
Docker
ML
ML
5.0 (1)01 Nov, 2023 489

workshop-timeseries-csv

Example of IntegratedML Time Series predictions.

Luis Angel Pérez Ramos
Docker
ML
ML
5.0 (1)27 Sep, 2023 115

IntegratedMLandDashboardSample

A simple example of generating machine learning prediction data

Shanshan Yu
IPM
ML
ML
0.0 (0)04 Jul, 2023 315 3

IntegratedML-IRIS-PlatformEntryPrediction

Integration platform server admission forecast

Z
Zhang Fatong
ML
ML
0.0 (0)03 Jul, 2023 155

workshop-integratedml-csv

Example of IntegratedML predictions based on real data in CSV

Luis Angel Pérez Ramos
Docker
ML
ML
5.0 (1)23 Jun, 2023 163

Sheep’s Galaxy

Example of using InterSystems IRIS Cloud SQL and IntegratedML

M
Maria Gladkova
Docker
Python
ML
ML
2.0 (1)21 Apr, 2023 406

IntegratedML-IRIS-Cloud-Height-prediction

Height and weight prediction based on InterSystems IntegratedML

Shanshan Yu
2.0 (1)19 Apr, 2023 313

Customer churn predictor

Checking customer churn with IntegratedML

O
Oleh Dontsov
Docker
Python
ML
ML
5.0 (2)18 Apr, 2023 204

AI text detection

Is your text generated by AI?

O
Oleh Dontsov
Docker
Python
AI
ML
ML
4.7 (3)18 Apr, 2023 370

Disease Predictor

Predict Diseases using InterSystems IRIS IntegratedML

Yuri Marx
Docker
IPM
ML
ML
5.0 (1)01 Jun, 2022 340 8

Predict Maternal Risk

Predict Maternal Risk from Health Dataset application

Yuri Marx
Docker
ML
ML
5.0 (1)13 Jan, 2022 410

integrated-ml-demo

Backend in Python or ObjectScript

G
Guillaume Rongier
Docker
Python
ML
ML
5.0 (1)31 Aug, 2021 517

fhir-integratedml-example

An example on how to use InterSystems IRIS for Health FHIR database to perform ML models througth InterSystems IRIS IntegratedML

José Pereira
Docker
ML
ML
4.8 (3)01 Aug, 2021 818

integratedml-demo-template

IntegratedML samples to be used as a template

Thomas Dyar
Docker
ML
ML
5.0 (1)23 Oct, 2020 760

covid-ai-demo-deployment

"Covid-19 AI demo in Docker" deployment including dockerised Flask, FastAPI, Tensorflow Serving and HA Proxy etc etc.

Z
Zhong Li
Docker
Python
ML
ML
0.0 (0)07 Sep, 2020 379

iris-ml-suite

A suite to use IRIS as Machine Learning Environment. Helping the development community to classify the posts with tags.

R
Renato Banzai
Docker
Python
ML
ML
4.5 (1)18 Jul, 2020 287

ML Made Easy : IntegratedML

A guide through the IntegratedML used as a hands-on session on InterSystems DACH PartnerTag 2020. It is based on work of Derek Robinson and documentation of InterSystems.

A
Aleksandar Kovacevic
Docker
AI
ML
ML
0.0 (0)16 Jul, 2020 149

SAPPHIRE

SAPPHIRE is an web application to create and train your InterSystems IntegratedML models. You can load CSV data too. It is business user friendly.

Yuri Marx
Docker
ML
ML
4.0 (1)13 Jul, 2020 446

iris-integratedml-monitor-example

Example on extending %Monitor.Adaptor to monitor IRIS IntegrateML models performance metrics.

José Pereira
Docker
ML
ML
0.0 (0)12 Jul, 2020 274