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bksvd

Fast randomized block Krylov method for the singular value decomposition

dsatools

Digital signal analysis library for python. The library includes such methods of the signal analysis, signal processing and signal parameter estimation as ARMA-based techniques; subspace-based techniques; matrix-pencil-based methods; singular-spectrum analysis (SSA); dynamic-mode decomposition (DMD); empirical mode decomposition; variational mode decomposition (EMD); empirical wavelet transform (EWT); Hilbert vibration decomposition (HVD) and many others.

dynamic-mode-decompositions

Codes to run some Dynamic Mode Decompositions (DMD) algorithms on multiple time-series data with some prebuilt choices of observables and example simulation models in python modules. The one step and N step options refer only to the predictions using the dynamics matrix rather than its estimation itself. Used research at University of California Santa Barbara (UCSB).

efd

Empirical Fourier decomposition: An accurate signal decomposition method for nonlinear and non-stationary time series analysis

exercise

exercise for nndl

feature-eng

Implements classes for feature engineering including one for Singular Spectrum Analysis (SSA) decomposition, SSA prediction or an heuristic function of an input dataset that may be used as training signal.

ie5600

Codes for IE5600

jmetalpy

A framework for single/multi-objective optimization with metaheuristics

platemo

Evolutionary multi-objective optimization platform

python

All Algorithms implemented in Python

pythonexer-leetcode

Python

robuststl

Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)

solar-radiation-figure-issue

stockprice

Data and Notebook for the Stock Price Prediction Tutorial

time-series-examples

This repository contains examples of time series data.