Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.
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This project presents a simple framework to retrieve images similar to a query image.
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of Py...
Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.
Advanced Deep Learning with Keras, published by Packt
Probing the representations of Vision Transformers.
(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.
TensorFlow and Deep Learning Tutorials
Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.
Simple Tensorflow tutorials for learning by example
TensorFlow implementation of "Unsupervised Learning of Visual Features by Contrasting Cluster Ass...
A curated list of dedicated resources and applications
A library that includes pure TF/Keras preprocessing and augmentation layers, providing support fo...
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...
Presents comprehensive benchmarks of XLA-compatible pre-trained models in Keras.
Deep learning codes and projects using Python