TensorFlow implementation of "Unsupervised Learning of Visual Features by Contrasting Cluster Assignments".
APACHE-2.0 License
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Learning Tensorflow Step by Step:: Concepts, Examples & Applications
Unsupervised Data Augmentation (UDA)
Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.
Custom Keras Callbacks for Feature Visualization, Class Activation Map, Grad-CAM
(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.
Implementation of CaiT models in TensorFlow and ImageNet-1k checkpoints. Includes code for infere...
Includes additional materials for the following keras.io blog post.
Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.
Implementation of Swin Transformers in TensorFlow along with converted pre-trained models, code f...
This repository hosts code for converting the original Vision Transformer models (JAX) to TensorF...
Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).