6330 Open source projects that are alternatives of or similar to Introduction To Time Series Forecasting Python

Time Series Forecasting Best Practices & Examples

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A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

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A use-case focused tutorial for time series forecasting with python

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Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

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1st place solution

A python library for time-series smoothing and outlier detection in a vectorized way.

ASAP: Prioritizing Attention via Time Series Smoothing

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Collection of useful data science topics along with code and articles

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A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

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The GitHub repository for the paper "Informer" accepted by AAAI 2021.

A python library for easy manipulation and forecasting of time series.

Pyncov-19: Learn and predict the spread of COVID-19

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Code repository of the paper "Wavelet Networks: Scale Equivariant Learning From Raw Waveforms" https://arxiv.org/abs/2006.05259

Rapid large-scale fractional differencing with RAPIDS to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation.

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Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python

Anything can happen in the next half hour (including spectral timing made easy)!

Deep Markov Models

A Python library for integrating model-based and judgmental forecasting

Deep learning meets molecular dynamics.

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