Machine-Learning-Cyrillic-Classifier VS tika-python

Compare Machine-Learning-Cyrillic-Classifier vs tika-python and see what are their differences.

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. (by francofgp)
ML Classifier Classification Svm Python Datascience datascience-machinelearning Machinelearning Russian Cyrillic recognition Recognizer Draw Letters imagerecognition imageclassification Streamlit Website
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tika-python

Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community. (by chrismattmann)
tika-server Python tika-python tika-server-jar parser-interface Parse translation-interface usc text-extraction Mime Buffer memex text-recognition Detection recognition NLP nlp-machine-learning nlp-library covid-19 extraction
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Machine-Learning-Cyrillic-Classifier tika-python
2 4
1 1,418
- -
0.0 2.2
over 2 years ago 15 days ago
Python Python
MIT License Apache License 2.0
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Machine-Learning-Cyrillic-Classifier

Posts with mentions or reviews of Machine-Learning-Cyrillic-Classifier. We have used some of these posts to build our list of alternatives and similar projects.

tika-python

Posts with mentions or reviews of tika-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-19.
  • Document Parsing - an unsolved problem?
    5 projects | /r/LanguageTechnology | 19 Jul 2022
    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.
  • Extract text from PDF
    7 projects | /r/Python | 2 Nov 2021
    Tika is from Apache so yes its original code base is Java but it has bindings in other languages. Checkout Tika-Python!
  • Extract text from documents
    5 projects | dev.to | 27 Mar 2021
    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?

When comparing Machine-Learning-Cyrillic-Classifier and tika-python you can also consider the following projects:

deep-text-recognition-benchmark - Text recognition (optical character recognition) with deep learning methods, ICCV 2019

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

keytotext - Keywords to Sentences

txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

streamlit - Streamlit — A faster way to build and share data apps.

layout-parser - A Unified Toolkit for Deep Learning Based Document Image Analysis

facematch - Facematch is a tool to verifies if two photos contain the same person.

py-pdf-parser - A Python tool to help extracting information from structured PDFs.

datatableton - 💯 datatable exercises

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.

SuperStyl - Supervised Stylometry

paperai - 📄 🤖 Semantic search and workflows for medical/scientific papers

Machine-Learning-Cyrillic-Classifier vs deep-text-recognition-benchmark tika-python vs EasyOCR Machine-Learning-Cyrillic-Classifier vs keytotext tika-python vs txtai Machine-Learning-Cyrillic-Classifier vs streamlit tika-python vs layout-parser Machine-Learning-Cyrillic-Classifier vs facematch tika-python vs py-pdf-parser Machine-Learning-Cyrillic-Classifier vs datatableton tika-python vs contextualized-topic-models Machine-Learning-Cyrillic-Classifier vs SuperStyl tika-python vs paperai