awesome-ocr VS datascience

Compare awesome-ocr vs datascience and see what are their differences.

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awesome-ocr datascience
1 4
781 4,071
- -
4.0 8.3
4 months ago 21 days ago
- Creative Commons Zero v1.0 Universal
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.

awesome-ocr

Posts with mentions or reviews of awesome-ocr. We have used some of these posts to build our list of alternatives and similar projects.
  • HTR/OCR for Handwritten Text?
    1 project | /r/freesoftware | 25 Apr 2021
    Other than that, I've found this list of HTR (handwritten text recognition) options: https://github.com/zacharywhitley/awesome-ocr#handwritten. I'll be working my way through that. Do you know any of the options there, and should I focus on or skip them?

datascience

Posts with mentions or reviews of datascience. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-01.

What are some alternatives?

When comparing awesome-ocr and datascience you can also consider the following projects:

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

Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai

awesome-jax - JAX - A curated list of resources https://github.com/google/jax

mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.

awesome-production-machine-learning - A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.

awesome-project-ideas - Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.

awesome-document-understanding - A curated list of resources for Document Understanding (DU) topic

Kats - Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

Awesome-Out-Of-Distribution-Detection - A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization

mlreef - The collaboration workspace for Machine Learning