GitHub topics: variable-order-markov-models
frshdjfry/SeqLab
A framework for the comparative training and evaluation of statistical and deep learning models for multi-feature categorical sequence modeling, utilizing feature fusion and automated with MLflow and Optuna integration.
Language: Python - Size: 55.8 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
Related Keywords
data-fusion
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deep-learning
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experiment-automation
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experiment-tracker
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feature-fusion
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gpt
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hyperparameter-optimization
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lstm
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lstm-attention
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machine-learning
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markov-models
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mlflow
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multi-dimensional-sequence-modeling
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multi-features
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optuna
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pytorch
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sequence-modeling
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sequence-to-sequence
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transformer
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variable-order-markov-models
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