H2Oai GPU Edition

Python implementation of elastic-net regularized generalized linear models

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High performance Python GLMs with all the features!

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

Analyzes weightlifting videos for correct posture using pose estimation with OpenCV

A chronological age predictor based on DNA methylation

Slides and notebooks for my tutorial at PyData London 2018

Feature selection method based on repeated elastic net.

Elastic-net VARMA: hyperparameter optimisation, estimation and forecasting

Sequential adaptive elastic net (SAEN) approach, complex-valued LARS solver for weighted Lasso/elastic-net problems, and sparsity (or model) order detection with an application to single-snapshot source localization.

This toolbox offers 7 machine learning methods for regression problems.

A fast version of elastic net r-package based on RcppArmadillo

It is From Analytics Vidhya Hackathons, Sponsored by Club Mahindra. It is based on Regression Problem, Where Accuracy matters the most, It is measured by RMSE Score. Different Techniques such as Stacking, Ensembling, Boosting and Scientific Operations such box-cox Operations to reduce skewness of the data.

Neural Network approaches for the Traveling Salesman Problem

MOSS: Multi-Omic integration via Sparse Singular Decomposition

LASSOPACK: Stata module for lasso, square-root lasso, elastic net, ridge, adaptive lasso estimation and cross-validation

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn

Integrative Survival Models