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1. TPE-LSTM TPE-LSTM Public

   A deep learning project on stock index prediction using Gated RNN with TPE-Bayesian optimization for hyperparameter tuning

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2. bvsdinda bvsdinda Public

   Config files for my GitHub profile.

3. Multi-step-ahead-prediction-using-k-means-TPE-LSTM Multi-step-ahead-prediction-using-k-means-TPE-LSTM Public

   Multi-step-ahead stock price prediction using k-means clustering and TPE-LSTM

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4. 1to30-step-stock-price-forecasting-with-K--means-LSTM 1to30-step-stock-price-forecasting-with-K--means-LSTM Public

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5. Best-Stock-index-prediction-model-using-ET-TPE-GRNN Best-Stock-index-prediction-model-using-ET-TPE-GRNN Public

   ET-TPE-GRNN framework’s superior performance on in-sample and out-of-sample data indicates the model's reliability, robustness, and practical usability. The ET-TPE-GRNN method outperforms other exi…

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6. multi-stepstockpriceforecastingusingK-means-TPE-LSTM-TCN multi-stepstockpriceforecastingusingK-means-TPE-LSTM-TCN Public

   This study focuses on overcoming the difficulties associated with multi-step prediction by developing a novel hybrid K++-means-TPE-LSTM-TCN deep learning modeling approach.