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AI/ML

Reading Comprehension Labeling

Highlight the answer. Review it together.

A self-hosted Rust + React workspace for SQuAD v1/v2 datasets: mark answer spans, review agreement and optionally request model suggestions.

Source33 stars on GitHub(opens in a new tab)
Role
Creator & Maintainer
Period
2020 – 2026.11
Status
Completed
Theme
AI, vision & medical imaging
Reading Comprehension Labeling, screenshot 1

Overview

A self-hosted Rust + React workspace for SQuAD v1/v2 datasets: mark answer spans, review agreement and optionally request model suggestions. Rewritten from the original Flask application in 2026, keeping annotation, review and export in one workspace.

Results

  • 2026 Rust and React rewrite with import, annotation, review and export

Features

  • Answer-span annotation and SQuAD v1/v2 import/export
  • Multi-person review and agreement scores
  • Optional model suggestions and built-in login
  • Single-image Docker deployment
  • AI, vision & medical imaging33 stars on GitHub

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  • AI, vision & medical imaging4040 stars on GitHub

    Brain MRI Pipeline

    An end-to-end Nipype pipeline with FSL FAST, K-means and ANTs Atropos segmentation, tissue volumes, bias-correction metrics and an interactive 3D brain.

    2018Completed
  • AI, vision & medical imaging11 stars on GitHub

    Street Scene OCR

    Compare EasyOCR, RapidOCR and PaddleOCR on Traditional Chinese street signs, with text boxes, timings and a small public-domain benchmark.

    2026Completed