Solution for the Quora Insincere Questions Classification Kaggle competition.
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Updated
Apr 10, 2023 - Python
Solution for the Quora Insincere Questions Classification Kaggle competition.
Natural Language Processing
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.
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.
Caption Images with Machine Learning
Bangla Conversational Chatbot using Bidirectional LSTM with Attention Mechanism
Neural Machine Translation (NMT) with pivot and triangulation approaches
Sequence 2 Sequence with Attention Mechanisms in Tensorflow v2
Neural Machine Translation by Jointly Learning to Align and Translate paper implementation
Implementation of GRU-based Encoder-Decoder Architecture with Bahdanau Attention Mechanism for Machine Translation from German to English.
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).
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.
A simple and easy to understand NLP teaching
Seq2Seq model implemented with pytorch, using Bahdanau Attention and Luong Attention.
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.
Generate captions from images
A multi-layer bidirectional seq-2-seq chatbot with bahdanau attention.
Master Project on Image Captioning using Supervised Deep Learning Methods
Tensorflow 2.0 tutorials for RNN based architectures for textual problems
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