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Univariate Time Series Prediction using Deep Learning and PyTorch

(Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"

It is from a kaggle competition where we have to predict the future sales using Machine Learning or Deep Learning. It is a Advanced Regression Problem where Statistics and time series analysis is also required. This problem can be very well done by Deep Learning's Model Recurrent Neural Networks.

This project is to practice applying Long Short-Term Memory network in deep learning to predict time series financial data. I selected Amazon's stock prices in the past five years and achieved a satisfying prediction result.

KPI time-series analysis using deep neural networks

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Implementation of Robust PCA and Robust Deep Autoencoder over Time Series

Official repository for paper "The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting"

The code for "MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction"

speech enhancement using DNN: [1] Xu, Y., Du, J., Dai, L.R. and Lee, C.H., 2015. A regression approach to speech enhancement based on deep neural networks. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), 23(1), pp.7-19. https://github.com/yongxuUSTC/sednn/tree/master/mixtu... Read more