Multivariate LSTM Fully Convolutional Networks for Time Series Classification

Flexible time series feature extraction & processing

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

A meta-analysis package for R

Python toolbox for analyzing imaging data

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 library for multivariate dependence modeling with Copulas

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

pyMCR: Multivariate Curve Resolution for Python

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

An Android library for generating simple A/B tests

Multivariate Local Polynomial Regression and Radial Basis Function Regression

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

Julia package containing utilities intended for Time Series analysis.

Fast and differentiable geometric median, a multivariate median analogue. Install with `pip install geom-median`

Multivariate Regression and Classification Using an Adaptive Neuro-Fuzzy Inference System (Takagi-Sugeno) and Particle Swarm Optimization.

Implementation of the Random Dilated Shapelet Transform algorithm along with interpretability tools. ReadTheDocs documentation is not up to date with the current version for now.

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

An ordinary differential equation solving library in golang.

Iterative hard thresholding for l0 penalized regression