robust-regression

There are 0 repository under robust-regression topic.

Nixtla / neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
deep-learning forecasting esrnn nbeats nbeatsx time-series pytorch transformer nhits neural-network machine-learning deep-neural-networks deepar tft robust-regression hierarchical-forecasting probabilistic-forecasting baselines baselines-zoo hint
Language:Python 3825
mkearney / tidyversity
🎓 Tidy tools for academics
tidyverse tidy rstats r statistics analysis academic research science mkearney-r-package regression linear-models general-linear-model logistic-regression poisson-regression negative-binomial-regression robust-regression structural-equation-modeling latent-variables tidyversity
Language:R 172
FSDA
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.
robust-statistics robust-estimation robust-regression box-cox multivariate-analysis mahalanobis-distance forward-search clustering classification m-estimation s-estimation mm-estimation robust-clustering correspondence-analysis visualization-tools tclust
Language:MATLAB 94
JuliaAI / MLJLinearModels.jl
Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
regressions julia-language mlj sparse-regression lasso-regression ridge-regression robust-regression elastic-net logistic-regression multinomial-regression regression-models
Language:Julia 83
getzze / RobustModels.jl
A Julia package for robust regressions using M-estimators and quantile regressions
julia-language robust-regression quantile-regression ridge-regression m-estimator mm-estimator s-estimator tau-estimator expectile-regression mquantile-regression outlier-detection outlier-rejection
Language:Julia 38
msalibian / RobStatTM
Companion package to the 2nd edition of the book "Robust Statistics: Theory and Methods"
robust robust-estimation robust-regression robust-statistics robustness statistics
Language:R 20
gsubramani / robust-nonlinear-regression
Robust Regression for arbitrary non-linear functions
robust fitting fitting-algorithm least-square-regression bayesian-statistics python nonlinear-regression outlier-detection numpy ransac bayesian-updates iteration robust-regression
Language:Python 15
yaniv-shulman / rsklpr
Robust locally weighted multiple regression in Python
machine-learning regression statistics polynomial-regression robust-statistics locally-weighted-regression robust-regression least-square-regression python python3 mit-license
Language:Python 8
bschulz81 / robustregression
a c++ library with statistical machine learning algorithms for linear and non-linear robust regression that can be used with python.
cpp forward-search gaussian-elimination least-squares levenberg-marquardt linear-algebra linear-regression nonlinear-regression ransac regression robust-statistics s-estimator statistics open-mp python3 cmake machine-learning outlier-detection outlier-removal robust-regression
Language:C++ 6
pyslise
edahelsinki / pyslise
Robust regression algorithm that can be used for explaining black box models (Python implementation)
python robust-regression black-box-explanations local-explanations explain-classifiers explainable-ai explainable-ml interpretable-machine-learning sparse-regression model-agnostic machine-learning research-paper research slise slise-algorithm
Language:Python 6
slise
edahelsinki / slise
Robust regression algorithm that can be used for explaining black box models (R implementation)
r robust-regression black-box-explanations local-explanations explain-classifiers explainable-ai explainable-ml interpretable-machine-learning sparse-regression model-agnostic machine-learning research-paper research slise slise-algorithm r-package
Language:R 5
omyllymaki / solvers
Different type of solvers to solve systems of nonlinear equations
optimization algorithms fitting gradient-descent gauss-newton evolutionary-algorithms linear-algebra solvers solve-equations ransac robust-regression gauss-newton-method numerical-optimization regression armadillo
Language:C++ 4
tobiasschoch / wbacon
Weighted BACON algorithms
outlier outlier-detection r-package robust-regression statistics
Language:C 3
Beliavsky / Alan-Miller-Fortran
Classification of Alan Miller's Fortran codes for statistics and numerical methods
fortran global-optimization numerical-optimization linear-algebra linear-regression modern-fortran multiple-linear-regression statistics robust-regression constrained-optimization genetic-algorithm nelder-mead unconstrained-optimization rng
2
fschur / robust_deconfounding
DecoR: Deconfounding Time Series with Robust Regression
causal-inference causality deconfounding robust-regression
Language:Python 2
antimattercorrade / Robust_Regression_RANSAC
Random Sample Consensus (RANSAC) Python Implementation
ransac ransac-algorithm random-sample-consensus robust-regression regression-analysis curve-fitting python python3 jupyter-notebook
Language:Jupyter Notebook 1
Beliavsky / Regression_Spaeth
Fortran 90 library of John Burkardt for regression using least-squares and other criteria, based on Spaeth's codes
statistics regression linear-regression multiple-linear-regression robust-regression
Language:Fortran 1
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
Language:Jupyter Notebook 1
p3i0t / robust_regression_with_huber_loss
Simple 1d robust regression with huber loss in the case of anomalies / outliers
robust-regression huber-loss-regression
Language:Python 1
samuehae / rankorder
universal rank-order method to analyze noisy data
data-analysis nonlinear-regression fitting-algorithm robust-regression
Language:Python 1
tk-yoshimura / ShapeFitting
Robust shape fitting
dotnet8 geometry m-estimation m-estimator net8 robust-regression
Language:C# 1
tk-yoshimura / Regression
Regression Analysis Utility
fitter linear m-estimation m-estimator math regression regressor robust-regression dotnet8 net8
Language:C#
Yoonyoung-Cho / Telecom_Customer_Secession_Prediction_2019
2019.12.18 개인프로젝트. 통신사 고객들의 이탈 예측
survival-analysis svm bagging random-forest robust-regression logit-model
Language:R