multivariate

Multivariate LSTM Fully Convolutional Networks for Time Series Classification

Flexible time series feature extraction & processing

A meta-analysis package for R

Python toolbox for analyzing imaging data

A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

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.

pyMCR: Multivariate Curve Resolution for Python

An Android library for generating simple A/B tests

Julia package containing utilities intended for Time Series analysis.

Financial Time Series Price forecast using Keras for Tensorflow. RNN LSTM

🧬High-performance genetics-related data visualization using Makie.jl

Python library for multivariate dependence modeling with Copulas

Iterative hard thresholding as a multiple regression model for GWAS

python package implementing a multivariate Horner scheme for efficiently evaluating multivariate polynomials

Time-Series models for multivariate and multistep forecasting, regression, and classification

Multivariate Local Polynomial Regression and Radial Basis Function Regression

An ordinary differential equation solving library in golang.

Multivariate Gaussian distributions for Tensorflow.

Implementation of the Random Dilated Shapelet Transform algorithm along with interpretability tools. Documentation is WIP on read the docs.

⭐️ Multivariate Linear Regression with Gradient Descent in JavaScript (Vectorized)