Top 4 Python fashion-mnist Projects
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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Angular-Penalty-Softmax-Losses-Pytorch
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
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fashion-segmentation
A tensorflow model for segmentation of fashion items out of multiple product images
Project mention: Logistic Regression for Image Classification Using OpenCV | news.ycombinator.com | 2023-12-31In this case there's no advantage to using logistic regression on an image other than the novelty. Logistic regression is excellent for feature explainability, but you can't explain anything from an image.
Traditional classification algorithms but not deep learning such as SVMs and Random Forest perform a lot better on MNIST, up to 97% accuracy compared to the 88% from logistic regression in this post. Check the Original MNIST benchmarks here: http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/#
Index
What are some of the best open-source fashion-mnist projects in Python? This list will help you:
Project | Stars | |
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1 | fashion-mnist | 11,439 |
2 | disentangling-vae | 753 |
3 | Angular-Penalty-Softmax-Losses-Pytorch | 475 |
4 | fashion-segmentation | 33 |
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