shahrukhx01/siamese-nn-semantic-text-similarity
A repository containing comprehensive Neural Networks based PyTorch implementations for the semantic text similarity task, including architectures such as: Siamese LSTM Siamese BiLSTM with Attention Siamese Transformer Siamese BERT.
This is a tool for developers who build applications that need to understand how similar two pieces of text are. It takes in pairs of text (like sentences or short paragraphs) and outputs a similarity score, which can be used for tasks like identifying duplicate content or improving search results. A machine learning engineer or data scientist would use this to implement and experiment with different text similarity models.
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Use this if you are a developer looking for pre-built PyTorch implementations of various deep learning models for semantic text similarity.
Not ideal if you are a non-developer seeking a ready-to-use application or API for text similarity without writing code.
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Language
Python
License
Apache-2.0
Category
Last pushed
Mar 10, 2022
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