robust-regression
There are 23 repositories under robust-regression topic.
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
mkearney/tidyversity
🎓 Tidy tools for academics
UniprJRC/FSDA
Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Union Public Licence (EUPL). FSDA is a joint project by the University of Parma and the Joint Research Centre of the European Commission.
JuliaAI/MLJLinearModels.jl
Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
getzze/RobustModels.jl
A Julia package for robust regressions using M-estimators and quantile regressions
msalibian/RobStatTM
Companion package to the 2nd edition of the book "Robust Statistics: Theory and Methods"
gsubramani/robust-nonlinear-regression
Robust Regression for arbitrary non-linear functions
yaniv-shulman/rsklpr
Robust locally weighted multiple regression in Python
bschulz81/robustregression
a c++ library with statistical machine learning algorithms for linear and non-linear robust regression that can be used with python.
edahelsinki/pyslise
Robust regression algorithm that can be used for explaining black box models (Python implementation)
edahelsinki/slise
Robust regression algorithm that can be used for explaining black box models (R implementation)
omyllymaki/solvers
Different type of solvers to solve systems of nonlinear equations
Beliavsky/Alan-Miller-Fortran
Classification of Alan Miller's Fortran codes for statistics and numerical methods
tobiasschoch/wbacon
Weighted BACON algorithms
antimattercorrade/Robust_Regression_RANSAC
Random Sample Consensus (RANSAC) Python Implementation
Beliavsky/Regression_Spaeth
Fortran 90 library of John Burkardt for regression using least-squares and other criteria, based on Spaeth's codes
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.
fschur/robust_deconfounding
DecoR: Deconfounding Time Series with Robust Regression
p3i0t/robust_regression_with_huber_loss
Simple 1d robust regression with huber loss in the case of anomalies / outliers
samuehae/rankorder
universal rank-order method to analyze noisy data
tk-yoshimura/ShapeFitting
Robust shape fitting
tk-yoshimura/Regression
Regression Analysis Utility
Yoonyoung-Cho/Telecom_Customer_Secession_Prediction_2019
2019.12.18 개인프로젝트. 통신사 고객들의 이탈 예측