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usnistgov / pyMCR

Star 54
Open

On README.rst and Demo.ipynb

1
roentgenium
roentgenium commented Apr 22, 2018

To easily install pyMCR into non-ascii environment (e.g. Windows 10 in Japanese), it would be nice to replace the non-breaking hyphen (U+2011) in line 168 of README.rst into more common hyphen-minus (U+002D) to avoid UnicodeDecordError.

On Demo.ipynb, I guess several mcrals._c_mrd should be mcrals._c_mrd[-1] .

Anyway, this code is what I look for. Thank you so much to share your code!

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help wanted good first issue

ajayarunachalam / Deep_XF

Star 60

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

python machine-learning deep-neural-networks timeseries deep-learning time-series forecasting multivariate ecg-signal sensors forecasting-models time-series-analysis auto-ml interpretable-ai explainable-ml siamese-neural-network auto-timeseries nowcasting-models
  • Updated Dec 27, 2021
  • Jupyter Notebook

jannikmi / multivar_horner

Sponsor
Star 20
Open

allow multi coefficient polynomials

jannikmi
jannikmi commented Jan 28, 2021

a user might want to represent and evaluate multiple polynomials (different coefficients) with the same properties.
This is useful e.g. for gradients (= partial derivative polynomial for each dimension)!
add support for 2D coefficient arrays and adjust Numba jit compilation.
then the gradient can be returned as a single polynomial with the same exponents but 2D coefficients or multiple distinct

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enhancement help wanted good first issue

sigvaldm / localreg

Star 19
Open

Return polyfit coefficients (or SymPy expression)

sigvaldm
sigvaldm commented Sep 6, 2021

Today polyfit() doesn't return fitting coefficient like NumPy's does, but NumPy's is only 1D. Now that localreg is multivariate, it would be nice to make it more similar to NumPy's for replacement. The ordering of the coefficients are more complicated for the multivariate case, but perhaps there could also be a class or something that could return a SymPy expression of the fit?

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enhancement good first issue

ZahraNabilaIzdihar / Backpropagation-Neural-Network-for-Multivariate-Time-Series-Forecasting

Star 10

Backpropagation Neural Network for Multivariate Time Series Forecasting (multi input single output: 2 inputs and 1 output)

python data-science machine-learning data-mining time-series neural-network anaconda jupyter-notebook prediction sessions neural-networks forecasting multivariate backpropagation prediction-algorithm time-series-forecasting e-journal forecasting-algorithms backpropagation-neural-network multivariate-forecasting
  • Updated Apr 1, 2021
  • Python

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