Projects in Awesome Lists tagged with robust-regression

https://github.com/nixtla/neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

baselines baselines-zoo deep-learning deep-neural-networks deepar esrnn forecasting hierarchical-forecasting hint machine-learning nbeats nbeatsx neural-network nhits probabilistic-forecasting pytorch robust-regression tft time-series transformer

Last synced: 17 Dec 2024

https://github.com/Nixtla/neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

baselines baselines-zoo deep-learning deep-neural-networks deepar esrnn forecasting hierarchical-forecasting hint machine-learning nbeats nbeatsx neural-network nhits probabilistic-forecasting pytorch robust-regression tft time-series transformer

Last synced: 05 Nov 2024

https://github.com/mkearney/tidyversity

🎓 Tidy tools for academics

academic analysis general-linear-model latent-variables linear-models logistic-regression mkearney-r-package negative-binomial-regression poisson-regression r regression research robust-regression rstats science statistics structural-equation-modeling tidy tidyverse tidyversity

Last synced: 15 Nov 2024

https://github.com/JuliaAI/MLJLinearModels.jl

Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)

elastic-net julia-language lasso-regression logistic-regression mlj multinomial-regression regression-models regressions ridge-regression robust-regression sparse-regression

Last synced: 13 Nov 2024

https://github.com/juliaai/mljlinearmodels.jl

Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)

elastic-net julia-language lasso-regression logistic-regression mlj multinomial-regression regression-models regressions ridge-regression robust-regression sparse-regression

Last synced: 11 Oct 2024

https://github.com/getzze/robustmodels.jl

A Julia package for robust regressions using M-estimators and quantile regressions

expectile-regression julia-language m-estimator mm-estimator mquantile-regression outlier-detection outlier-rejection quantile-regression ridge-regression robust-regression s-estimator tau-estimator

Last synced: 07 Nov 2024

https://github.com/beliavsky/alan-miller-fortran

Classification of Alan Miller's Fortran codes for statistics and numerical methods

constrained-optimization fortran genetic-algorithm global-optimization linear-algebra linear-regression modern-fortran multiple-linear-regression nelder-mead numerical-optimization rng robust-regression statistics unconstrained-optimization

Last synced: 03 Dec 2024

https://github.com/beliavsky/regression_spaeth

Fortran 90 library of John Burkardt for regression using least-squares and other criteria, based on Spaeth's codes

linear-regression multiple-linear-regression regression robust-regression statistics

Last synced: 03 Dec 2024

https://github.com/dhanvina/equisight

Unveiling the Art of Stock Market Prognostication through Regression Algorithms. Delve into our research exploring the power of machine learning in predicting market trends. Discover the secrets behind top regression models like Linear, Robust, Ridge, and Lasso Regression. Unravel the complexities of the market with data-driven precision.

implementation-of-linear-regression lasso-regression linear-regression machine-learning market-trends predictive-analysis regression regression-analysis-overview ridge-regression robust-regression stock the-basics-of-stock-market-analysis

Last synced: 12 Nov 2024