covid-19-open-data
tika-python
covid-19-open-data | tika-python | |
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12 | 4 | |
453 | 1,418 | |
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6.8 | 2.2 | |
over 1 year ago | 19 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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covid-19-open-data
tika-python
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Document Parsing - an unsolved problem?
At my previous job we had the same problem which we solved by using Tika. We called it on the server along with other stuff, but there is also a Python binding.
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Extract text from PDF
Tika is from Apache so yes its original code base is Java but it has bindings in other languages. Checkout Tika-Python!
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Extract text from documents
The Textractor instance is the main entrypoint for extracting text. This method is backed by Apache Tika, a robust text extraction library written in Java. Apache Tika has support for a large number of file formats: PDF, Word, Excel, HTML and others. The Python Tika package automatically installs Tika and starts a local REST API instance used to read extracted data.
What are some alternatives?
seirsplus - Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
coronavirus-tracker-api - π¦ A simple and fast (< 200ms) API for tracking the global coronavirus (COVID-19, SARS-CoV-2) outbreak. It's written in python using the π₯ FastAPI framework. Supports multiple sources!
txtai - π‘ All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
covid-19-data - Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests β’ All countries β’ Updated daily by Our World in Data
layout-parser - A Unified Toolkit for Deep Learning Based Document Image Analysis
corona - Reverse engineering SARS-CoV-2
py-pdf-parser - A Python tool to help extracting information from structured PDFs.
contextualized-topic-models - A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.
paperai - π π€ Semantic search and workflows for medical/scientific papers
paperetl - π βοΈ ETL processes for medical and scientific papers
Machine-Learning-Cyrillic-Classifier - This is a web app where you can draw a letter in the russian alphabet and the ML algorithm will predict the letter that you drew.