clementapa / CelebFaces_Attributes_Classification

This repository is related to a project of the Introduction to Numerical Imaging (i.e, Introduction à l'Imagerie Numérique in French), given by the MVA Masters program at ENS-Paris Saclay. It was entirely build from scratch and contains code in PyTorch Lightning to train and then use a neural network for image classification. We used it to create a classifier allowing semantic attributes classification of faces with the dataset CelebA-HQ.

Date Created 2022-01-28 (2 years ago)

Commits 40 (last one about a year ago)

Stargazers 31 (0 this week)

Watchers 2 (0 this week)

Forks 4

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RepositoryStats indexes 600,333 repositories, of these clementapa/CelebFaces_Attributes_Classification is ranked #568,306 (5th percentile) for total stargazers, and #488,054 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #16,361/17,724.

clementapa/CelebFaces_Attributes_Classification is also tagged with popular topics, for these it's ranked: python (#21,676/22446), deep-learning (#8,285/8559), computer-vision (#3,014/3154), image-classification (#388/401)

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All Topics

python deep-learning celeba-dataset computer-vision pytorch-lightning vision-transformer image-classification multi-label-classification

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updated: 2025-01-03 @ 04:56am, id: 453124839 / R_kgDOGwIi5w