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A neural network based file sorter. Trains an autoencoder to sort images or audio based on the similarity of their encodings, or uses the OpenAI CLIP model.

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When i use no clip labels and at the same time i use estimate_k = True i get only 2-3 clusters, is there a way to increase this number and...

Distillation on CLIP in image training to facilitate image "understanding" CLIP to describe directories of images tough stuff

enhancement

this includes the displaying of the representative image

enhancement

currently only scaling exists, i'd like to have options like crop, crop and scale, as well as affine transformations on images

enhancement

either add NVIDIA apex.amp or options to convert all params with .half()

enhancement