Multi-tenant context caching and serving for tabular in-context-learning foundation models (TabICL, TabPFN, and similar)
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Updated
Sep 22, 2026 - Python
Multi-tenant context caching and serving for tabular in-context-learning foundation models (TabICL, TabPFN, and similar)
Reproducible datasets, computational workflows, and model implementations for externally validated tabular foundation models and explainable concrete compressive strength prediction.
Aurevia Health AI — Clinical Intelligence Platform (Stitch Nexus) — TabICLv2 · Databricks Lakehouse · 10-Year Digital Twin · FHIR R4
Calibration gate for tabular classifiers (TabICL-first, model-agnostic, offline, CI-ready)
Free Claude MCP server for TabICL — tabular ML predictions, explanations and shareable reports
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