awesome-ocr
awesome-jax
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| awesome-ocr | awesome-jax | |
|---|---|---|
| 1 | 3 | |
| 781 | 1,288 | |
| - | - | |
| 4.0 | 6.2 | |
| 4 months ago | 9 days ago | |
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awesome-ocr
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HTR/OCR for Handwritten Text?
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-jax
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[D] Any less-boilerplate framework for Jax/Flax/Haiku?
Have you looked in here?
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[D] JAX learning resources?
Here's a compilation of resources: https://github.com/n2cholas/awesome-jax
What are some alternatives?
deep-text-recognition-benchmark - Text recognition (optical character recognition) with deep learning methods, ICCV 2019
awesome-production-machine-learning - A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
get-started-with-JAX - The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
awesome-project-ideas - Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
awesome-ai-in-finance - 🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
awesome-document-understanding - A curated list of resources for Document Understanding (DU) topic
equinox - Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
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
awesome-deep-learning - A curated list of awesome Deep Learning tutorials, projects and communities.
datascience - Curated list of Python resources for data science.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration