Mathematical Vision & Document Understanding
13 repos
Tools and models for extracting structured information from mathematical content, charts, tables, and documents using vision-language approaches. This cluster focuses on bridging visual understanding with mathematical reasoning, including techniques for parsing mathematical notation, converting figures to code, and extracting tabular/JSON data from images and documents. The central repositories demonstrate machine learning approaches to these problems, while the broader cluster includes supporting libraries for schema validation and structured data transformation.
C++ · 1
Rust · 1
TypeScript · 1
chart ·14,534
table ·8,296
react ·7,856
form ·7,856
javascript ·7,856
ant ·7,856
json-schema ·7,856
formrender ·7,856
ant-design ·7,856
list ·7,856
