This repository hosts code for converting the original Vision Transformer models (JAX) to TensorFlow.
APACHE-2.0 License
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This repository hosts code for converting the original MLP Mixer models (JAX) to TensorFlow.
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...
Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
TensorFlow 2.X reimplementation of CvT: Introducing Convolutions to Vision Transformers, Haiping ...
Implementation of Swin Transformers in TensorFlow along with converted pre-trained models, code f...
Implementation of MAXIM in TensorFlow.
Probing the representations of Vision Transformers.
Includes PyTorch -> Keras model porting code for ConvNeXt family of models with fine-tuning and i...
Implementation of CaiT models in TensorFlow and ImageNet-1k checkpoints. Includes code for infere...
Includes PyTorch -> Keras model porting code for DeiT models with fine-tuning and inference noteb...
An Implementation of Transformer in Transformer in TensorFlow for image classification, attention...
A non-exhaustive collection of vision transformer models implemented in TensorFlow.
This repository hosts the code to port NumPy model weights of BiT-ResNets to TensorFlow SavedMode...