ExpressNet is a ready-to-use, weightless text classification model architecture that you can import and start training immediately.
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Updated
Jul 30, 2024 - Jupyter Notebook
ExpressNet is a ready-to-use, weightless text classification model architecture that you can import and start training immediately.
This repository contains TensorFlow/Keras models for implementing an Encoder-Decoder architecture for sequence-to-sequence tasks. It includes components such as Encoder, Decoder, Embedding Layer, LSTM Layer, Attention Mechanism, and more.
Neural Machine Translation by Jointly Learning to Align and Translate paper implementation
Bangla Conversational Chatbot using Bidirectional LSTM with Attention Mechanism
Neural Machine Translation (NMT) with pivot and triangulation approaches
A simple and easy to understand NLP teaching
Implementation of GRU-based Encoder-Decoder Architecture with Bahdanau Attention Mechanism for Machine Translation from German to English.
Solution for the Quora Insincere Questions Classification Kaggle competition.
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.
Sequence 2 Sequence with Attention Mechanisms in Tensorflow v2
Master Project on Image Captioning using Supervised Deep Learning Methods
A language translator based on a very simple NLP Transformer model, backed by encoder, decoder and a Bahdanau Attention Layer in between, implemented on TensorFlow.
Caption Images with Machine Learning
Seq2Seq model implemented with pytorch, using Bahdanau Attention and Luong Attention.
This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention etc in Pytorch, Tensorflow, Keras
Implemented an Encoder-Decoder model in TensorFlow, where ResNet-50 extracts features from the VizWiz-Captions image dataset and a GRU with Bahdanau attention generates captions.
Generate captions from images
Tensorflow 2.0 tutorials for RNN based architectures for textual problems
A multi-layer bidirectional seq-2-seq chatbot with bahdanau attention.
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).
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