lasso

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

real-estate python machine-learning neural-network random-forest lasso xgboost polynomial ensemble-learning ols decision-trees ridge-regression polynomial-regression knn multi-layer-perceptron amsterdam predicting-housing-prices lasso-regression mlp-regressor knn-regression

UpdatedApr 9, 2019
Python

JuliaStats /Lasso.jl

Star145

Lasso/Elastic Net linear and generalized linear models

julia lasso regularized-linear-regression l1

UpdatedOct 6, 2024
Julia

JeffFessler /MIRT.jl

Star114

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

image-reconstruction julia lasso mirt mri tomography sparse-coding inverse-problems optimization-algorithms k-space nufft sinogram

UpdatedNov 18, 2024
Julia

pbreheny /biglasso

Star114

biglasso: Extending Lasso Model Fitting to Big Data in R

r bigdata parallel-computing lasso out-of-core

UpdatedMar 5, 2025
C++

carnotresearch /cr-sparse

Star89

Functional models and algorithms for sparse signal processing

functional-programming lasso sparse-linear-systems convex-optimization sparse-bayesian-learning linear-operators compressive-sensing wavelets sparse-representations jax l1-regularization basis-pursuit

UpdatedOct 17, 2023
Jupyter Notebook

jack-willturner /batchnorm-pruning

Star71

Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layershttps://arxiv.org/abs/1802.00124

deep-learning lasso sgd pruning batchnorm

UpdatedNov 14, 2018
Python

minatosato /Lasso

Star70

This is implementation Lasso with Coordinate Descent and LARS (Least Angle Regression).

lasso coordinate-descent lars least-angle-regression

UpdatedJan 10, 2025
Python

m-clark /models-by-example

Star68

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

machine-learning neural-network algorithms linear-regression lasso pca expectation-maximization splines logistic-regression bayesian gradient-descent rkhs ridge-regression gaussian-processes cox-model hamiltonian-monte-carlo mixed-models penalized-regression maximum-likelihood-estimation zero-inflated

UpdatedJan 28, 2021
R

hiroyuki-kasai /GDLibrary

Star68

Matlab library for gradient descent algorithms: Version 1.0.1

machine-learning big-data newton optimization svm linear-regression machine-learning-algorithms statistical-learning lasso classification logistic-regression gradient gradient-descent softmax-regression optimization-algorithms matrix-completion multinomial-regression rosenbrock-problem

UpdatedJul 2, 2018
MATLAB

rfeinman /pytorch-lasso

Star67

L1-regularized least squares with PyTorch

pytorch lasso least-squares sparse-coding dictionary-learning l1-regularization

UpdatedFeb 19, 2023
Python

hongooi73 /glmnetUtils

Star65

Utilities for glmnet

r cross-validation lasso glmnet regression-models

UpdatedSep 10, 2023
R

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