sequence-data
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applying different RNN architecture to build character prediction model and a word based prediction model these model are trained on data of specific topics from wikipedia
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May 24, 2024 - Jupyter Notebook
Bayesian surprise is the result of mismatches between our expectations and actual results, hence the degree of surprise or anomalousness attached to a pattern will vary with respect to these differences. The implication of obtaining large surprise values identifies those patterns likely to be useful and interesting to the user.
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Mar 5, 2024 - R
a stacked LSTM to categorize textual news feeds
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Nov 12, 2023 - Jupyter Notebook
tools for modular, extensible retrieval, filtering & analysis of Ensembl BLAST results
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Aug 27, 2024 - Python
An action classifier is proposed with LSTM model, where data are shaped with sequence data in 3D.
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Jun 16, 2022 - Jupyter Notebook
Multi Stocks Forcasting
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Jun 28, 2024 - Jupyter Notebook
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