cait-tf

Implementation of CaiT models in TensorFlow and ImageNet-1k checkpoints. Includes code for inference and fine-tuning.

APACHE-2.0 License

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Implementation of MAXIM in TensorFlow.

PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...

Probing the representations of Vision Transformers.

This repository hosts code for converting the original Vision Transformer models (JAX) to TensorF...

Interpretability Methods for tf.keras models with Tensorflow 2.x

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g...

TensorFlow 2.X reimplementation of CvT: Introducing Convolutions to Vision Transformers, Haiping ...

This repository hosts code for converting the original MLP Mixer models (JAX) to TensorFlow.

A curated list of dedicated resources and applications

Includes PyTorch -> Keras model porting code for DeiT models with fine-tuning and inference noteb...

Use any TensorFlow model in a single line of code

Implementation of Swin Transformers in TensorFlow along with converted pre-trained models, code f...

Includes PyTorch -> Keras model porting code for ConvNeXt family of models with fine-tuning and i...