Collection of custom layers and utility functions for Keras which are missing in the main framework.
MIT License
Neural network visualization toolkit for tf.keras
Implementation of the Transformer architecture described by Vaswani et al. in "Attention Is All Y...
How to use TensorLayer
TensorFlow and Deep Learning Tutorials
Keras Attention Layer (Luong and Bahdanau scores).
Adventure into using multi attention recurrent neural networks for time-series (city traffic) for...
Layers Outputs and Gradients in Keras. Made easy.
Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.
attention block for keras Functional Model with only tensorflow backend
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...
Keras implementation of the "Show, Attend and Tell" paper
This repository presents a Python-based implementation of the Transformer architecture on Keras T...
Korean translation of the Keras documentation.
Custom Keras layers for implementing multi-dimensional recurrent neural networks (MDRNNs) describ...
A TensorFlow-compatible Python library that provides models and layers to implement custom Transf...