Topic: "robust-regression"
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
Language: Python - Size: 139 MB - Last synced at: about 18 hours ago - Pushed at: 7 days ago - Stars: 3,483 - Forks: 400
mkearney/tidyversity
π Tidy tools for academics
Language: R - Size: 480 KB - Last synced at: 19 days ago - Pushed at: over 6 years ago - Stars: 171 - Forks: 16
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.
Language: MATLAB - Size: 922 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 88 - Forks: 42
JuliaAI/MLJLinearModels.jl
Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
Language: Julia - Size: 583 KB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 81 - Forks: 13
getzze/RobustModels.jl
A Julia package for robust regressions using M-estimators and quantile regressions
Language: Julia - Size: 782 KB - Last synced at: 19 days ago - Pushed at: 7 months ago - Stars: 36 - Forks: 1
msalibian/RobStatTM
Companion package to the 2nd edition of the book "Robust Statistics: Theory and Methods"
Language: R - Size: 9.59 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 17 - Forks: 7
gsubramani/robust-nonlinear-regression
Robust Regression for arbitrary non-linear functions
Language: Python - Size: 147 KB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 13 - Forks: 3
edahelsinki/pyslise
Robust regression algorithm that can be used for explaining black box models (Python implementation)
Language: Python - Size: 3.55 MB - Last synced at: about 2 months ago - Pushed at: 12 months ago - Stars: 6 - Forks: 1
bschulz81/robustregression
a c++ library with statistical machine learning algorithms for linear and non-linear robust regression that can be used with python.
Language: C++ - Size: 233 KB - Last synced at: 28 days ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 4
yaniv-shulman/rsklpr
Robust locally weighted multiple regression in Python
Language: Python - Size: 37.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0
edahelsinki/slise
Robust regression algorithm that can be used for explaining black box models (R implementation)
Language: R - Size: 3.72 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 1
omyllymaki/solvers
Different type of solvers to solve systems of nonlinear equations
Language: C++ - Size: 248 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 1
tobiasschoch/wbacon
Weighted BACON algorithms
Language: C - Size: 2.72 MB - Last synced at: 10 days ago - Pushed at: 8 months ago - Stars: 3 - Forks: 2
Beliavsky/Alan-Miller-Fortran
Classification of Alan Miller's Fortran codes for statistics and numerical methods
Size: 43 KB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0
fschur/robust_deconfounding
DecoR: Deconfounding Time Series with Robust Regression
Language: Python - Size: 646 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 1 - Forks: 0
tk-yoshimura/ShapeFitting
Robust shape fitting
Language: C# - Size: 168 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 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.
Language: Jupyter Notebook - Size: 285 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
p3i0t/robust_regression_with_huber_loss
Simple 1d robust regression with huber loss in the case of anomalies / outliers
Language: Python - Size: 35.2 KB - Last synced at: 7 days ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1
tk-yoshimura/Regression
Regression Analysis Utility
Language: C# - Size: 29.3 KB - Last synced at: 21 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
antimattercorrade/Robust_Regression_RANSAC
Random Sample Consensus (RANSAC) Python Implementation
Language: Jupyter Notebook - Size: 133 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
Beliavsky/Regression_Spaeth
Fortran 90 library of John Burkardt for regression using least-squares and other criteria, based on Spaeth's codes
Language: Fortran - Size: 244 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
Yoonyoung-Cho/Telecom_Customer_Secession_Prediction_2019
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Language: R - Size: 943 KB - Last synced at: 8 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
