Includes PyTorch -> Keras model porting code for ConvNeXt family of models with fine-tuning and inference notebooks.
Includes PyTorch -> Keras model porting code for DeiT models with fine-tuning and inference notebooks.
Creates subsets of ImageNet (e.g. ImageNet100)
Implementation of CaiT models in TensorFlow and ImageNet-1k checkpoints. Includes code for inference and fine-tuning.
Tensorflow implementations of ConvNeXt V1 + V2 models w/ weights, including conversion and evaluation scripts.
Pretraining the EfficientViT-B4 model on the ImageNet-1k dataset
Models with variable output classes designed for Imagenet-1k.
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