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1. TimeSeries_Seq2Seq TimeSeries_Seq2Seq Public

   Forked from JEddy92/TimeSeries_Seq2Seq

   This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

   Jupyter Notebook

2. Deep-Learning-For-Hackers Deep-Learning-For-Hackers Public

   Forked from curiousily/Deep-Learning-For-Hackers

   Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencode…

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3. Practical-Deep-Learning-Applied-to-Time-Series Practical-Deep-Learning-Applied-to-Time-Series Public

   Forked from oguiza/Practical-Deep-Learning-Applied-to-Time-Series

   Practical Deep Learning resources for Time series analysis and forecasting

   Jupyter Notebook

4. Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN- Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN- Public

   Forked from deshpandenu/Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-

   Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then s…

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5. auto_ml auto_ml Public

   Forked from uselessskills/auto_ml

   In this repository we test AutoML approaches for time-series forecasting

   Jupyter Notebook

6. Self-boosted-Time-series-Forecasting Self-boosted-Time-series-Forecasting Public

   Forked from KurochkinAlexey/Self-boosted-Time-series-Forecasting

   Pytorch implementation of "Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning" https://arxiv.org/pdf/1909.08181.pdf

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