This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention etc in Pytorch, Tensorflow, Keras
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Updated
Sep 23, 2021 - Python
This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention etc in Pytorch, Tensorflow, Keras
Image Captioning is the process of generating textual description of an image. It uses both Natural Language Processing and Computer Vision to generate the captions.
Configurable Encoder-Decoder Sequence-to-Sequence model. Built with TensorFlow.
Chapter 9: Attention and Memory Augmented Networks
s-atmech is an independent Open Source, Deep Learning python library which implements attention mechanism as a RNN(Recurrent Neural Network) Layer as Encoder-Decoder system. (only supports Bahdanau Attention right now).
Master Project on Image Captioning using Supervised Deep Learning Methods
Tensorflow 2.0 tutorials for RNN based architectures for textual problems
Sequence 2 Sequence with Attention Mechanisms in Tensorflow v2
Solution for the Quora Insincere Questions Classification Kaggle competition.
A simple and easy to understand NLP teaching
Generate captions from images
Natural Language Processing
Neural Machine Translation by Jointly Learning to Align and Translate paper implementation
Caption Images with Machine Learning
Bangla Conversational Chatbot using Bidirectional LSTM with Attention Mechanism
Implementation of GRU-based Encoder-Decoder Architecture with Bahdanau Attention Mechanism for Machine Translation from German to English.
Seq2Seq model implemented with pytorch, using Bahdanau Attention and Luong Attention.
Neural Machine Translation (NMT) with pivot and triangulation approaches
A multi-layer bidirectional seq-2-seq chatbot with bahdanau attention.
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