Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Eden AI: simplify the use and deployment of AI technologies by providing a unique API that connects to the best possible AI engines
A Python pipeline tool and plugin ecosystem for processing technical documents. Process papers from arXiv, SemanticScholar, PDF, with GROBID, LangChain, listen as podcast. Customize your own pipelines.
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
A library that can understand PDF or Images of documents (such as invoices). Is powered by tesseract and LLMs.
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
PhraseSpeaker: Effortlessly dictate specific sections of text files with macOS's text-to-speech. Perfect for navigating and audibly extracting key content from large documents!
Graph-based Table Representation Learning (GPTR) is a positional-free Transformer-based method to learn table entry embeddings that are sensitive to the semantic meanings of the entries, while preserving table-parsing-friendly features, such as permutation invariance.
Data Structure and Class to ease Parsing of Complex Documents.
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