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1. Stock_models_transformer Stock_models_transformer Public

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2. Stock_models Stock_models Public

   using various machine learning models to predict stock prices

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3. stock_data stock_data Public

   acquire & preprocessing

   Jupyter Notebook 3

4. NMT-seq2seq-attention NMT-seq2seq-attention Public

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   Jupyter Notebook 2

5. Resnet_T-matrix_label-noise Resnet_T-matrix_label-noise Public

   using a transitional matrix to reduce the impact of label noise in supervised learning.

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6. PatchTST_test PatchTST_test Public

   Forked from yuqinie98/PatchTST

   An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

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