eubinean/the-clean-rnns
A clean and structured implementation of the RNN family with wandb and pytorch-lightning
This project helps machine learning engineers and researchers explore and compare different Recurrent Neural Network (RNN) architectures for natural language processing tasks. It takes raw text data, processes it, trains various RNN models like LSTM and BiLSTM, and outputs performance metrics and trained models. The primary users are those who build and evaluate deep learning models for sequence data.
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Use this if you are a machine learning practitioner who wants a clean, structured, and reproducible way to implement and experiment with RNN family models for text classification or similar sequence-based tasks.
Not ideal if you are an end-user looking for a ready-to-use application or a non-technical person who doesn't work with code, model training, or evaluation.
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Python
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Last pushed
May 21, 2022
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