image-crop-analysis
astrophotography_stack_align
image-crop-analysis | astrophotography_stack_align | |
---|---|---|
2 | 1 | |
249 | 4 | |
0.8% | - | |
0.0 | 0.0 | |
over 2 years ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | - |
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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.
image-crop-analysis
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The Twitter Ranking Algorithm
Yep, it's gonna just be like when they "open-sourced" their image cropping algorithm and it's just that they provided the model and didn't specify their training data. Granted, yes, you can provide analysis like they did on Github [1] but you don't know _why_ it's outputting something.
[1]: https://github.com/twitter-research/image-crop-analysis
- Twitter pagará recompensas a quienes identifiquen sesgos en su algoritmo: estos son los premios
astrophotography_stack_align
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Galactic Core
Program: https://github.com/toymil/astrophotography_stack_align Uncompressed image: https://github.com/toymil/astrophotography_stack_align/raw/master/.github/image/_END_RESULT.JPG
What are some alternatives?
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computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.
neural-style-transfer - :paintbrush: This repository contains, well-structured Python library and runnable fully prepared Python notebook of the "Neural Style Transfer" algorithm
mmagic - OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
Neural-Style-Transfer - Pytorch implementation of Nueral Style transfer
starreduction - A free and open source tool for star removal in astronomy images. A GAN model implemented in tensorflow and trained to remove stars from astronomical images
SUBLIME - Semantically Understanding Bias with LIME. Using the LIME-RS Algorithm to understand bias in recommender systems.