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import tensorflow as tf from vit_tensorflow. regionvit import RegionViT model = RegionViT ( dim = (64, 128, 256, 512), # tuple of size 4, indicating dimension at each stage depth = (2, 2, 8, 2), # ...
This repository contains an implementation of a Transformer model for text summarization using TensorFlow. The model is based on the architecture described in the paper "Attention is All You Need" by ...
The variational autoencoder(VAE) has been proved to be a most efficient generative model, but its applications in natural language tasks have not been fully developed. A novel variational autoencoder ...
The intermediate features have not been well utilized, which impairs industrial anomaly detection. In this paper, we propose Memory-augmented Adversarial Autoencoder with CNN-Transformer (CTMAANet), ...
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