Application Name | Developer | Made with | Rating | Last updated | Views | Installs |
---|---|---|---|---|---|---|
thalamus-ogThalamus revolutionizes LLM routing | A | Python AI ML ML | 0.0 (0) | 19 Sep, 2024 | 25 | |
IRIS RAG AppIris python first experience django template | A | Docker Python AI ML ML | 4.5 (1) | 06 Aug, 2024 | 265 | |
InterSystems Ideas Waiting to be ImplementedProgrammatic reportsThe report creation is a tedious and non-productive task. You need an IDE, create a connection, create a SQL query, define report bands, drag-and-drop/design report columns, fields, labels, summarizations, margins, charts and prepare perfect pixel reports for print. To create a tradicional report the effort takes 4 to 12 hours. The idea is to define reports using object script instructions. With some minutes and with writing a few object script lines you can get a report equivalent to a tradicional report, with the benefit to create dynamic content for the reports (productivity). The idea includes yet the feature to allows to the developer set print restrictions for the PDF report generated (reduce carbon emission, not allowing print, only read). Benefits of this idea: 1 - Productivity - develop a report in minutes not in hours 2 - Reduce carbon emission - is possible restrict the PDF print 3 - Create dynamic reports using ObjectScript 4 - No need to install a report server, saving processor and memory resources (decreasing emissions) To create a report using source code, see this sample with Java, but could be in ObjectScript too: TextColumnBuilder<String> itemColumn = col.column("Item", "item", type.stringType()); TextColumnBuilder<Date> orderDateColumn = col.column("Order date", "orderdate", type.dateType()); TextColumnBuilder<Integer> quantityColumn = col.column("Quantity", "quantity", type.integerType()).setFixedWidth(50); TextColumnBuilder<BigDecimal> unitPriceColumn = col.column("Unit price", "unitprice", type.bigDecimalType()); ColumnTitleGroupBuilder titleGroup2 = grid.titleGroup("Group 2", quantityColumn, unitPriceColumn); ColumnTitleGroupBuilder titleGroup1 = grid.titleGroup("Group 1", orderDateColumn, titleGroup2).setTitleFixedWidth(450); report() .setTemplate(Templates.reportTemplate) .columnGrid(itemColumn, titleGroup1) .columns(itemColumn, orderDateColumn, quantityColumn, unitPriceColumn) .title(Templates.createTitleComponent("ColumnTitleGroup")) .pageFooter(Templates.footerComponent) .setDataSource(createDataSource()) .setSecurityRule(PrintRule.READ_ONLY) //if you want restrict print .printPDF(); Y 4Votes3Comments | ||||||
HackUPC24_KlìnicSymptoms Clinical Trial Search Tool using Knowledge Graphs | T | AI ML ML | 0.0 (0) | 15 May, 2024 | 172 | |
document_vector_search_unifiaiApplication for document summarisation and question and answer | P | AI ML ML | 0.0 (0) | 14 May, 2024 | 84 | |
potatoes_patatasTravel Planning 2.0: Uniting similar people in similar layovers! | B | Python AI ML ML | 0.0 (0) | 13 May, 2024 | 85 | |
iris-health-coachLLM Health Coach using InterSystems Vector DB | Z | IPM AI ML ML | 4.5 (1) | 13 May, 2024 | 232 | 7 |
WALL-MA Platform for Retrieval Augmented Generation (RAG) for Question-Answering of E-Mails | S | Python AI ML ML | 0.0 (0) | 12 May, 2024 | 239 | |
DNA-similarity-and-classifyClassify gene family find similar DNAs with Vector Search and ML | d | Docker Python AI ML ML | 5.0 (1) | 12 May, 2024 | 229 | |
AutoML Churn Predict ShowroomInterSystems IRIS AutoML Showroom | Docker IPM ML ML | 5.0 (1) | 12 May, 2024 | 99 | ||
hackupcHACKUPC 2024 edition | M | Python AI ML ML | 0.0 (0) | 07 May, 2024 | 72 | |
iris-fhirsqlbuilder-dbt-integratedmlDemonstration of building predictive models trained on FHIR data | Docker Python AI ML ML | 0.0 (0) | 29 Mar, 2024 | 122 | ||
interoperability-integratedml-adapterAn IRIS Interoperability adapter to use ML models managed by IRIS IntegratedML | Docker IPM ML ML | 5.0 (1) | 25 Mar, 2024 | 244 | 38 | |
posts-and-tags-datasetRepository with Post data from community.intersystems.com data to solve posts and tags issue in InterSystems AI programming Contest | S | Docker IPM ML ML | 5.0 (1) | 25 Mar, 2024 | 259 | 28 |
iris-vector-searchQuick and easy ways to use iris vector search with Python. | A | Docker AI ML ML | 4.0 (2) | 23 Feb, 2024 | 992 | |
Fhir-HepatitisC-PredictProcessing FHIR resources through FHIR SQL BUILDER will predict the probability of suffering from HepatitisC disease | s | IPM ML ML | 0.0 (0) | 28 Jan, 2024 | 234 | 1 |
QuinielaMLSoccer match predictions with IntegratedML | Docker ML ML | 5.0 (1) | 01 Nov, 2023 | 520 | ||
workshop-timeseries-csvExample of IntegratedML Time Series predictions. | Docker ML ML | 5.0 (1) | 27 Sep, 2023 | 121 | ||
iris-python-machinelearnMachine learning application Python IRIS | Docker Python ML ML | 4.5 (1) | 22 Sep, 2023 | 293 | ||
IntegratedMLandDashboardSampleA simple example of generating machine learning prediction data | IPM ML ML | 0.0 (0) | 04 Jul, 2023 | 321 | 3 | |
IntegratedML-IRIS-PlatformEntryPredictionIntegration platform server admission forecast | Z | ML ML | 0.0 (0) | 03 Jul, 2023 | 159 | |
workshop-integratedml-csvExample of IntegratedML predictions based on real data in CSV | Docker ML ML | 5.0 (1) | 23 Jun, 2023 | 173 | ||
Sheep’s GalaxyExample of using InterSystems IRIS Cloud SQL and IntegratedML | M | Docker Python ML ML | 2.0 (1) | 21 Apr, 2023 | 411 | |
Customer churn predictorChecking customer churn with IntegratedML | O | Docker Python ML ML | 5.0 (2) | 18 Apr, 2023 | 207 | |
AI text detectionIs your text generated by AI? | O | Docker Python AI ML ML | 4.7 (3) | 18 Apr, 2023 | 377 | |
iris-pero-ocrOCR demo for IRIS | G | Docker Python ML ML | 5.0 (1) | 06 Dec, 2022 | 307 | |
PMML Business OperationWith this simple Business Operation, you can easily leverage your predictive models (saved as PMML) in a Production. There's both a generic BO and a utility method that allows you to generate dedicated operation / request / response classes. | B | ML ML | 0.0 (0) | 31 Aug, 2022 | 282 | |
iris-fine-tuned-mlTrain and tune a machine learning model using IRIS and Python | L | Docker Python ML ML | 4.0 (1) | 17 Aug, 2022 | 209 | |
iris-local-mlHow to use Python and IRIS to run Machine learnings algorithms | L | Docker Python AI ML ML | 4.0 (1) | 02 Aug, 2022 | 303 | |
Water Conditions in EuropeWater Conditions with Prediction, Dashboards and more | E | Docker Python ML ML | 5.0 (2) | 03 Jun, 2022 | 326 | |
Disease PredictorPredict Diseases using InterSystems IRIS IntegratedML | Docker IPM ML ML | 5.0 (1) | 01 Jun, 2022 | 347 | 8 |