Application support Machine Learning, LLM, NLP, PALM and OpenAI
🧪 Hands-on DICOM integration examples using InterSystems IRIS for Health and dcm4che simulator. Store, query, retrieve, and manage WorkLists with Docker.
A cli command like "iris init" which prompt several questions like "Do you want a REST API ? ", "Do you want Analytics modules ?" etc etc... And once the command is done, a blank project is generated with the skeleton of the code
MCP server connecting GitHub Copilot, Claude Code, and other AI coding assistants directly to a live IRIS instance for ObjectScript development.
Use Python to read Excel workbook into IRIS global.
Exploratory Data Analysis with Visualization Application
fast JSON formating for Caché / Ensemble
Access energy data of Major ISOs in the United States
Gaia DR3 Variable Star Detection — IntegratedML + AI Hub entry (custom GBT IRISModel, PREDICT(), +6 bonus pts)
Lovable react frontend for FHIR
Gaia challenge submission
Gaia DR3 epoch photometry flux variation analyzer implemented in InterSystems ObjectScript.
Benchmark submission with unzip in Docker
helper utility to deal with interoperability transaction
Scanning GAIA data
Gaia DR3 variable star detection — minimal-code entry: one line of logic, 580 characters of embedded Python
Gaia DR3 Variable Star Detection — speed entry (isal + ProcessPoolExecutor, ~1s)
InterSystems Employee Programming Challenge #1. Identifies variable astronomical objects in Gaia DR3 epoch photometry data using IRIS Embedded Python with a C shared library for maximum throughput.
Gaia variability in IRIS embedded Python, mapped as a sky
Minimal-code solution to the challenge: identify Gaia DR3 sources whose BP or RP flux changed by more than 100% over the observation period and write the result CSV. Optimized for fewest lines of code (see the sibling repo gaia-benchmark for the speed-optimized, parallel variant).
Speed-optimized solution to the challenge: identify Gaia DR3 sources whose BP or RP flux changed by more than 100% over the observation period and write the result CSV. Optimized for shortest execution time via parallel parsing, ≈1.3 seconds (see the sibling repo gaia-codegolf for the minimal-code variant).
Gaia DR3 epoch photometry flux variation analyzer implemented with InterSystems IRIS Embedded Python.
A ui layer for interoperability explainer
One line of ObjectScript identifies Gaia DR3 variable stars!!
A Planetarium Web app built on InterSystems IRIS using Flask, Pyprod and Embedded Python, and data from the Gaia and Hipparcos datasets
InterSystems Employee Programming Challenge #1
SQL Golf: Can You Beat Par and Find 57,099 Stars?
InterSystems Employee Programming Challenge #1 — processes 20 gzip-compressed Gaia DR3 EpochPhotometry files to identify astronomical objects whose BP or RP flux changed by more than 100%, using IRIS ObjectScript + Polars (Python) for high-performance parallel processing.
InterSystems Employee Programming Challenge #1 — Gaia DR3 photometric variability analysis.
extract csv.gz to Numpy vectors and do vectorized caculation
A benchmark submission for the ISC Programming Challenge