DIF
image-crop-analysis
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| DIF | image-crop-analysis | |
|---|---|---|
| 2 | 2 | |
| 1 | 247 | |
| - | 0.0% | |
| 3.6 | 0.0 | |
| over 2 years ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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DIF
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
What are some alternatives?
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neural-style-transfer - :paintbrush: This repository contains, well-structured Python library and runnable fully prepared Python notebook of the "Neural Style Transfer" algorithm
Neural-Style-Transfer - Pytorch implementation of Nueral Style transfer
computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.
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SUBLIME - Semantically Understanding Bias with LIME. Using the LIME-RS Algorithm to understand bias in recommender systems.
OpenFilter - This repository refers to the paper currently under review for the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks, under the title "OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters", by Piera Riccio, Bill Psomas, Francesco Galati, Francisco Escolano, Thomas Hofmann and Nuria Oliver.