siamese-recurrent-architectures

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Here are 13 public repositories matching this topic...

MahmoudWahdan / Siamese-Sentence-Similarity

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Keras and Tensorflow implementation of Siamese Recurrent Architectures for Learning Sentence Similarity

tensorflow keras lstm semantic-similarity siamese-network siamese-recurrent-architectures

Updated May 11, 2019
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fionn-mac / Manhattan-LSTM

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Keras and PyTorch implementations of the MaLSTM model for computing Semantic Similarity.

natural-language-processing deep-learning lstm gru semantic-similarity aaai natural-language-understanding siamese-recurrent-architectures siamese-neural-network

Updated Apr 1, 2020
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TharinduDR / Siamese-Recurrent-Architectures

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Usage of Siamese Recurrent Neural network architectures for semantic textual similarity

deep-learning sentence-similarity siamese-network siamese-recurrent-architectures

Updated Mar 5, 2019
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vishnumani2009 / siamese-text-similarity

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Tensorflow based implementation of deep siamese LSTM network for sentence classification using character embeddings

deep-learning text-classification siamese-network siamese-recurrent-architectures

Updated Oct 17, 2017
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c3duan / Time-Series-Classifier

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Anomaly Classification in Time Series Data

cnn rnn cluster-analysis siamese-lstm siamese-recurrent-architectures siamese-neural-network pytroch siamese-cnn

Updated Jul 12, 2020
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jaydeepthik / Siamese-Sentence-Similarity

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This repository contains keras implementation of the paper Learning Sentence Similarity with Siamese Recurrent Architectures

nlp sentence-similarity siamese-lstm siamese-recurrent-architectures

Updated Feb 26, 2019
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ktxlh / manhattan-bigru

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Siamese Manhattan Bi-GRU for semantic similarity between sentences

sts bidirectional-gru siamese-recurrent-architectures rnn-gru

Updated May 8, 2019
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avinashsai / Siamese-Recurrent-Architectures-for-Sentence-Similarity

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Implementation of all Siamese networks for sentence similarity

mxnet pytorch sentence-similarity siamese-recurrent-architectures

Updated Oct 29, 2018
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amit-raj-repo / DL-NLP-Siamese-Network

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The Facenet paper of 2015 proposed an interesting solution for huge multiclass problems. Instead of the traditional approach, we try to learn a similarity function i.e. degree of difference between 2 inputs. If the degree of difference between the inputs is less than a threshold then the inputs are classified as similar else different.

nlp deep-neural-networks deep-learning deeplearning siamese siamese-network siamese-lstm siamese-recurrent-architectures siamese-neural-network siamese-networks