BERT-QE VS EasyOCR

Compare BERT-QE vs EasyOCR and see what are their differences.

BERT-QE

Code and resources for the paper "BERT-QE: Contextualized Query Expansion for Document Re-ranking". (by zh-zheng)

EasyOCR

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc. (by JaidedAI)
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BERT-QE EasyOCR
1 38
48 22,049
- 2.0%
0.0 3.6
over 2 years ago about 1 month ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

BERT-QE

Posts with mentions or reviews of BERT-QE. We have used some of these posts to build our list of alternatives and similar projects.

EasyOCR

Posts with mentions or reviews of EasyOCR. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-27.

What are some alternatives?

When comparing BERT-QE and EasyOCR you can also consider the following projects:

FinBERT-QA - Financial Domain Question Answering with pre-trained BERT Language Model

PaddleOCR - Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

gensim - Topic Modelling for Humans

tesseract-ocr - Tesseract Open Source OCR Engine (main repository)

haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

ranking - Learning to Rank in TensorFlow

OpenCV - Open Source Computer Vision Library

beir - A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments

tesserocr - A Python wrapper for the tesseract-ocr API

LaTeX-OCR - pix2tex: Using a ViT to convert images of equations into LaTeX code.