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Selim Can Demirtaş's Projects

dash-predictive-maintenance icon dash-predictive-maintenance

Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To predict the date when equipment will completely fail (RUL), XGBoost is used and achieved RMSE error is 0.033964 days, which is highly accurate.

fullsubnet icon fullsubnet

PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."

fullsubnet-plus icon fullsubnet-plus

The official PyTorch implementation of "FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancement".

vernet icon vernet

Source codes of Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction

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