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Application Name | Developer | Made with | Rating | Last updated | Views | Installs |
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AutoML Churn Predict ShowroomInterSystems IRIS AutoML Showroom | Docker IPM ML ML | 5.0 (1) | 12 May, 2024 | 90 | ||
Hackupc24_interText-to-video application based on user photos. | J | Python AI | 0.0 (0) | 05 May, 2024 | 130 | |
InterSystems Ideas Waiting to be ImplementedAI 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 3Votes1Comments | ||||||
iris-fhirsqlbuilder-dbt-integratedmlDemonstration of building predictive models trained on FHIR data | Docker Python AI ML ML | 0.0 (0) | 29 Mar, 2024 | 104 | ||
interoperability-integratedml-adapterAn IRIS Interoperability adapter to use ML models managed by IRIS IntegratedML | Docker IPM ML ML | 5.0 (1) | 25 Mar, 2024 | 222 | 38 | |
QuinielaMLSoccer match predictions with IntegratedML | Docker ML ML | 5.0 (1) | 01 Nov, 2023 | 489 | ||
workshop-timeseries-csvExample of IntegratedML Time Series predictions. | Docker ML ML | 5.0 (1) | 27 Sep, 2023 | 115 | ||
IntegratedMLandDashboardSampleA simple example of generating machine learning prediction data | IPM ML ML | 0.0 (0) | 04 Jul, 2023 | 315 | 3 | |
IntegratedML-IRIS-PlatformEntryPredictionIntegration platform server admission forecast | Z | ML ML | 0.0 (0) | 03 Jul, 2023 | 155 | |
workshop-integratedml-csvExample of IntegratedML predictions based on real data in CSV | Docker ML ML | 5.0 (1) | 23 Jun, 2023 | 163 | ||
Sheep’s GalaxyExample of using InterSystems IRIS Cloud SQL and IntegratedML | M | Docker Python ML ML | 2.0 (1) | 21 Apr, 2023 | 406 | |
IntegratedML-IRIS-Cloud-Height-predictionHeight and weight prediction based on InterSystems IntegratedML | 2.0 (1) | 19 Apr, 2023 | 313 | |||
Customer churn predictorChecking customer churn with IntegratedML | O | Docker Python ML ML | 5.0 (2) | 18 Apr, 2023 | 204 | |
AI text detectionIs your text generated by AI? | O | Docker Python AI ML ML | 4.7 (3) | 18 Apr, 2023 | 370 | |
Disease PredictorPredict Diseases using InterSystems IRIS IntegratedML | Docker IPM ML ML | 5.0 (1) | 01 Jun, 2022 | 340 | 8 | |
Predict Maternal RiskPredict Maternal Risk from Health Dataset application | Docker ML ML | 5.0 (1) | 13 Jan, 2022 | 410 | ||
integrated-ml-demoBackend in Python or ObjectScript | G | Docker Python ML ML | 5.0 (1) | 31 Aug, 2021 | 517 | |
fhir-integratedml-exampleAn example on how to use InterSystems IRIS for Health FHIR database to perform ML models througth InterSystems IRIS IntegratedML | Docker ML ML | 4.8 (3) | 01 Aug, 2021 | 818 | ||
integratedml-demo-templateIntegratedML samples to be used as a template | 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 | Docker Python ML ML | 0.0 (0) | 07 Sep, 2020 | 379 | |
iris-ml-suiteA suite to use IRIS as Machine Learning Environment. Helping the development community to classify the posts with tags. | R | Docker Python ML ML | 4.5 (1) | 18 Jul, 2020 | 287 | |
ML Made Easy : IntegratedMLA 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 | Docker AI ML ML | 0.0 (0) | 16 Jul, 2020 | 149 | |
SAPPHIRESAPPHIRE is an web application to create and train your InterSystems IntegratedML models. You can load CSV data too. It is business user friendly. | Docker ML ML | 4.0 (1) | 13 Jul, 2020 | 446 | ||
iris-integratedml-monitor-exampleExample on extending %Monitor.Adaptor to monitor IRIS IntegrateML models performance metrics. | Docker ML ML | 0.0 (0) | 12 Jul, 2020 | 274 |