77 Open source projects that are alternatives of or similar to bess

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

Machine Learning in R

Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.

Statistical Inference and Sure Independence Screening via Ball Statistics

Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

Awesome Domain Adaptation Python Toolbox

Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation. survHE can fit a large range of survival models using both a frequentist approach (by calling the R package flexsurv) and a Bayesian perspective.

Python utilities for Machine Learning competitions

A free LDL factorisation routine

Dot-and-Whisker Plots of Regression Results

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Survival analysis in Python

Slides and notebooks for my tutorial at PyData London 2018

A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.

Benchmarking and Visualization Toolkit for Penalized Cox Models

Feature Selection for Clustering

Statsmodels: statistical modeling and econometrics in Python

This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.

Python implementation of QBSO-FS : a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection problem.

Deep Learning application to the partial differential equations

Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models

Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market

This Project is an applicaton based on Computer vision and Machine learning implementation using regression supervised classification.

mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

All Relevant Feature Selection

Efficient Algorithms for L0 Regularized Learning

Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm

GraphOfDocs: Representing multiple documents as a single graph

Use advanced feature engineering strategies and select best features from your data set with a single line of code.

In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language

Research project

Model verification, validation, and error analysis

Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

COX Proportional risk model and survival analysis implemented by tensorflow.

Feature engineering package with sklearn like functionality

Targeted Learning for Survival Analysis

A package to integrate rollout into your Laravel project.

Functional models and algorithms for sparse signal processing

Scalable sparse Bayesian learning for large CS recovery problems

Sparse matrix formats for linear algebra supporting scientific and machine learning applications

Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

Python implementation of the R stargazer multiple regression model creation tool

code for "A global pathway selection algorithm for the reduction of detailed chemical kinetic mechanisms" (Gao et al., CNF'16)

Developed a supervised machine learning system that can estimate a country's GDP per capita using regression algorithms.

This project demonstrates how to apply machine learning algorithms to distinguish "good" stocks from the "bad" stocks.

Udacity Machine Learning Nano degree Program Project Predicting Passenger Survival

R package for online training of regression models using FTRL Proximal

R package for fast rolling and expanding linear regression models

An intelligently dumb calculator that uses machine learning

Search the best feature subset for you classification mode

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

Feature selection for maximizing expected cumulative reward

This is a project based on the FIFA World Cup 2019 and Analyzes the Performance and Efficiency of Teams, Players, Countries and other related things using Data Analysis and Data Visualizations

BAS R package https://merliseclyde.github.io/BAS/

PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

Exemplary, annotated machine learning pipeline for any tabular data problem.