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Projects in Awesome Lists tagged with multivariate

A curated list of projects in awesome lists tagged with multivariate .

https://github.com/titu1994/mlstm-fcn

Multivariate LSTM Fully Convolutional Networks for Time Series Classification

classification keras lstmfcn multivariate tensorflow timeseries

Last synced: 05 Apr 2025

https://github.com/cosanlab/nltools

Python toolbox for analyzing imaging data

fmri machine-learning multivariate neuroimaging-data python python-toolbox toolbox

Last synced: 01 May 2025

https://github.com/ajayarunachalam/deep_xf

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.

auto-ml auto-timeseries deep-learning deep-neural-networks ecg-signal explainable-ml forecasting forecasting-models interpretable-ai machine-learning multivariate nowcasting-models python sensors siamese-neural-network time-series time-series-analysis timeseries

Last synced: 31 Aug 2025

https://github.com/benman1/time-series

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

deep-learning deepar forecasting gaussian-processes keras lstm multi-step multivariate nbeats tensorflow time-series transformer

Last synced: 22 Jun 2025

https://github.com/krishnap25/geom_median

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

aggregation geometric-median median multivariate robust

Last synced: 26 Oct 2025

https://github.com/viraltux/Forecast.jl

Julia package containing utilities intended for Time Series analysis.

autoregressive boxcox forecast loess mauna-loa multivariate smoothing stl time-series trend-decomposition var

Last synced: 15 Mar 2025

https://github.com/viraltux/forecast.jl

Julia package containing utilities intended for Time Series analysis.

autoregressive boxcox forecast loess mauna-loa multivariate smoothing stl time-series trend-decomposition var

Last synced: 15 Aug 2025

https://github.com/jannikmi/multivar_horner

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

evaluation factorization horner horner-scheme hornerscheme-solver math mathematics multivariate multivariate-polynomials polynomial polynomial-evaluation polynomials python python3

Last synced: 25 Jul 2025

https://github.com/ChristopherRabotin/ode

An ordinary differential equation solving library in golang.

differential-equations golang multivariate ode solving-library

Last synced: 14 Mar 2025

https://github.com/christopherrabotin/ode

An ordinary differential equation solving library in golang.

differential-equations golang multivariate ode solving-library

Last synced: 23 Mar 2025

https://github.com/pastas/metran

Multivariate timeseries analysis using dynamic factor modelling.

analysis groundwater hydrology multivariate pastas python timeseries

Last synced: 17 Aug 2025

https://github.com/badr-moufad/multivariate-time-series-clustering

Multivariate clustering of weather data. This is part of my research internship.

clustring internship machine-learning multivariate time-series univariate weather-data

Last synced: 10 Sep 2025

https://github.com/o-laurent/multivariate-ks-test

Python implementation of an extension of the Kolmogorov-Smirnov test for multivariate samples

kolmogorov-smirnov kolmogorov-smirnov-tests multivariate python statistical-tests

Last synced: 03 Jul 2025

https://github.com/biosustain/multitfa

Multivariate thermodynamics-based metabolic flux analysis in Python.

cobrapy fba metabolism multitfa multivariate python3 tfa thermodynamics tmfa

Last synced: 12 Apr 2025

https://github.com/sentayhu19/car-price-prediction-linear-regression

This project is about Predicting the price of car using Linear-regression

ai linear-regression multivariate python3

Last synced: 11 Apr 2025

https://github.com/gzt/cholwishart

Functions for Wishart distributions, including sampling from the inverse Wishart and sampling from the Cholesky factorization of a Wishart.

cholesky-decomposition cholesky-factorization cran digamma-functions gamma multivariate pseudo-wishart r wishart wishart-distributions

Last synced: 30 Oct 2025

https://github.com/cdeil/multinorm

Multivariate Normal Distributions from Python

covariance distribution fit gaussian humans multivariate numpy python statistics

Last synced: 22 Mar 2025

https://github.com/agi-lab/reserving-multivariate-evolutionary-glm

A multivariate evolutionary generalised linear model framework with adaptive estimation for claims reserving

actuarial claims evolutionary glm multivariate outstanding reserving

Last synced: 03 Jan 2026

https://github.com/mjosaarinen/mayo-py

Simple Python Implementation of the MAYO 1.0 Multivariate PQC Signature Secheme

mayo multivariate nist pqc

Last synced: 06 Apr 2025

https://github.com/coatless-rpkg/msos

msos: Data Sets and Functions Used in Multivariate Statistics: Old School by John Marden

multivariate r statistics

Last synced: 12 Dec 2025

https://github.com/34j/colormap-complex

Complex / 2d multivariate bivariate colormap / Domain coloring for Matplotlib, Plotly etc. (pure-numpy)

bivariate bivariate-analysis color colormap colour-science complex-analysis complex-numbers domain-coloring domain-colouring matplotlib multivariate multivariate-analysis

Last synced: 08 May 2025

https://github.com/mvdoc/meegnobis

Temporal Representational Similarity Analysis in Python

decoding meg multivariate neuroimaging representations rsa

Last synced: 13 Apr 2025

https://github.com/aariq/plantago-bace

Analyses from Orians et al. 2019 https://doi.org/10.1093/aob/mcz004

ggplot2 multivariate multivariate-analysis redundancy-analysis

Last synced: 17 Mar 2025

https://github.com/mmkim1210/biostat-257-2021-spring

Numerical linear algebra + numerical optimization algorithms

julia multivariate optimization

Last synced: 10 Apr 2025

https://github.com/nadjanayara/airquality-multivariatetimeseries-lstm

Predicting air quality indicators with LSTM approach, using multivariable time series data collected from multiple pollutants alongside weather variables. After preprocessing and exploratory data analysis, the dataset was normalized and modeled using LSTM neural networks in TensorFlow/Keras, with hyperparameter optimization via Keras Tuner.

keras lstm multivariate tensorflow time-series

Last synced: 07 Oct 2025

https://github.com/csteed/crossvisweb

Multivariate visual analytics web application based on parallel coordinates (http://csteed.com/CrossVisWeb/)

d3js multivariate parallelcoordinates visualization

Last synced: 16 Oct 2025

https://github.com/jose-jaen/multivariate-analysis

Multivariate statistical techniques applied to automovile dataset.

data-science matlab multivariate python statistics unsupervised-clustering

Last synced: 13 Jun 2025

https://github.com/boyiguo1/mote.rf

Multivariate Outcome Treatment Effect Random Forest

heterogeneity multivariate random-forest treatment-effects

Last synced: 23 Mar 2025

https://github.com/juliaaplavin/multicdf.jl

Multivariate cumulative distribution functions.

cdf cumulative-distribution multivariate probability statistics

Last synced: 26 Dec 2025

https://github.com/nilu0309/stock-price-prediction

Multivariate stock price prediction using LSTM networks with Optuna hyperparameter tuning and Captum interpretability. Trains on 60-day sliding windows across 442 companies to forecast next-day prices and visualize feature/time-step importance.

captum data-science deep-learning forecasting interpretability lstm machine-learning multivariate optuna pytorch stock-price-prediction time-series

Last synced: 13 Nov 2025