Skip to content
#

auditability

Here are 18 public repositories matching this topic...

This project integrates Hyperledger Fabric with machine learning to enhance transparency and trust in data-driven workflows. It outlines a blockchain-based strategy for data traceability, model auditability, and secure ML deployment across consortium networks.

  • Updated May 29, 2025
  • Shell

Reference implementation of the Spiral–HDAG–Coupling architecture. It combines a verifiable ledger, a tensor-based Hyperdimensional DAG, and Time Information Crystals to provide a new kind of memory layer for Machine Learning. With integrated Zero-Knowledge ML, the system enables trustworthy, auditable, and privacy-preserving AI pipelines.

  • Updated Sep 29, 2025
  • Python

Clinical + Genomic **RAG evaluation (pro)** with hybrid retrieval (BM25 + embeddings), stronger faithfulness, YAML configs, and HTML dashboards. Python **3.10+**.

  • Updated Nov 16, 2025
  • Python

This repository provides a compact RAG evaluation harness tailored for clinical + genomic use cases. It operates on de-identified synthetic notes and curated genomic snippets, measures retrieval quality and grounding/faithfulness, and produces JSONL/CSV/HTML reports.

  • Updated Nov 14, 2025
  • Python

Improve this page

Add a description, image, and links to the auditability topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the auditability topic, visit your repo's landing page and select "manage topics."

Learn more