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A library that includes Keras3 layers, blocks and models with pretrained weights, providing support for transfer learning, feature extraction, and more.

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- [ ] `kimm.layers.*` - [x] `kimm.blocks.*` - [x] `kimm.models.*` - [x] `kimm.list_models` - [x] `kimm.utils.get_reparameterized_model` - [x] `kimm.utils.timm_utils.*`

documentation

Reference: - https://huggingface.co/timm?sort_models=downloads#models - https://huggingface.co/collections/timm/timm-takes-on-the-classics-655ce63dcaa21067cd7d3f4c Classics: - [x] densenet - [x] inceptionv3 - [ ] inceptionresnetv2 - [x] resnet - [ ] squeezenet - [x] vgg - [x] xception Lightweight...

enhancement

Is it possible to use other timm backbones?

Hi, I'm interested in: https://huggingface.co/timm/tf_efficientnet_b7.ns_jft_in1k The efficientnet model is available in keras, but I'm interested in the advanced pretrained weights used here. When I load kimm.models.EfficientNetB7(), I get Downloading data...

Hello @james77777778, seems like your project is the next missing piece of the puzzle I am looking for :) Seems like you are a specialist in the topic, hence I...

I have a question about understanding the structure and functionality of backbone stages. I want to know how to identify which layers belong to each stage. For example, MobileNetV3 has...