seq2seq-pytorch
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Minimalist NMT for educational purposes
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Jan 29, 2024 - Python
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
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Jul 25, 2024 - Jupyter Notebook
A PyTorch implementation of the hierarchical encoder-decoder architecture (HRED) introduced in Sordoni et al (2015). It is a hierarchical encoder-decoder architecture for modeling conversation triples in the MovieTriples dataset. This version of the model is built for the MovieTriples dataset.
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May 5, 2018 - Python
Neural Machine Translation using LSTMs and Attention mechanism. Two approaches were implemented, models, one without out attention using repeat vector, and the other using encoder decoder architecture and attention mechanism.
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Jun 21, 2022 - Python
Paper Implementation about Attention Mechanism in Neural Network
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Dec 14, 2017 - Python
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Jan 5, 2019 - Jupyter Notebook
Repository containing the code to my bachelor thesis about Neural Machine Translation
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Dec 9, 2022 - Python
ICLR_2018_Reproducibility_Challenge : Sketch-RNN
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Feb 3, 2018 - Jupyter Notebook
The sequence-to sequence model implemented by pytorch
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Jan 17, 2019 - Python
French to English neural machine translation trained on multi30k dataset.
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May 20, 2020 - Python
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Apr 8, 2019 - Python
REST API for training and prediction of seq2seq model
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Apr 18, 2019 - Python
Interpretation for english autoencoder (seq2seq model).
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Oct 10, 2019 - Jupyter Notebook
💬 Sequence to Sequence from Scratch Using Pytorch
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Jan 18, 2019 - Python
Implementation of Selected Published Papers from AI, RL, NLP Conferences and reputed Journals
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Apr 1, 2020 - Jupyter Notebook
한글을 영어로 번역하는 자연어처리 모델 스터디입니다.
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May 29, 2020 - Jupyter Notebook
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