Keras implementation of ViT (Vision Transformer)
APACHE-2.0 License
Industry-strength Computer Vision workflows with Keras
A non-exhaustive collection of vision transformer models implemented in TensorFlow.
VGGFace implementation with Keras Framework
Probing the representations of Vision Transformers.
Neural network visualization toolkit for tf.keras
Interpretability Methods for tf.keras models with Tensorflow 2.x
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...
Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.
Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Create...
A library that includes pure TF/Keras preprocessing and augmentation layers, providing support fo...
Includes PyTorch -> Keras model porting code for DeiT models with fine-tuning and inference noteb...
Porting vision models to Keras 3 for easily accessibility. Contains MobileViT v1, MobileViT v2
Neural network visualization toolkit for keras
Classification models trained on ImageNet. Keras.
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of Py...