awesome-ocr VS Awesome-Out-Of-Distribution-Detection

Compare awesome-ocr vs Awesome-Out-Of-Distribution-Detection and see what are their differences.

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awesome-ocr Awesome-Out-Of-Distribution-Detection
1 6
781 546
- -
4.0 7.6
4 months ago 3 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?

Awesome-Out-Of-Distribution-Detection

Posts with mentions or reviews of Awesome-Out-Of-Distribution-Detection. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing awesome-ocr and Awesome-Out-Of-Distribution-Detection you can also consider the following projects:

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

best-of-jupyter - 🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.

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

Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

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

AugMax - [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, and Zhangyang Wang.

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

awesome-python-data-science - Probably the best curated list of data science software in Python.

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

yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

datascience - Curated list of Python resources for data science.