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.
Provides pre-built training pipelines and data loaders for the SICK dataset, with spaCy tokenization integration for preprocessing. Supports custom embedding initialization and configurable hyperparameters (hidden sizes, attention heads, transformer layers) across all architectures. BERT implementations leverage the Hugging Face `transformers` library's Trainer API, while recurrent and transformer variants use native PyTorch optimization loops.
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Language
Python
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Apache-2.0
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Last pushed
Mar 10, 2022
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