100 Open source projects that are alternatives of or similar to arfs

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

Feature selection for maximizing expected cumulative reward

Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

Earthquake Prediction Challenge with LightGBM and XGBoost

Machine Learning in R

A package to integrate rollout into your Laravel project.

GraphOfDocs: Representing multiple documents as a single graph

An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.

Show how to perform fast retraining with LightGBM in different business cases

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

Automatic machine learning for tabular data. ⚡🔥⚡

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

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

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

Solution to Kaggle's PLAsTiCC Astronomical Classification Competition

🌳 Stacked Gradient Boosting Machines

Python utilities for Machine Learning competitions

🏆 Kaggle 8th place solution

Bayesian Optimization and Grid Search for xgboost/lightgbm

Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).

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.

Building Decision Trees From Scratch In Python

Machine Learning University: Decision Trees and Ensemble Methods

Awesome Domain Adaptation Python Toolbox

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.

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.

Search the best feature subset for you classification mode

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

Kaggle Kernels (Python, R, Jupyter Notebooks)

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

📒 Experiment tracking tool and model registry

Machine Learning Tool Box

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

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

Efficient Algorithms for L0 Regularized Learning

LightGBM.jl provides a high-performance Julia interface for Microsoft's LightGBM.

Statistical Inference and Sure Independence Screening via Ball Statistics

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.

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

An R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExplainer)

Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis

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

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

Using Kafka-Python to illustrate a ML production pipeline

A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

Feature Selection for Clustering

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

머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.

2017第一届腾讯社交广告高校算法大赛Rank28_code

Feature engineering package with sklearn like functionality

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

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

Simple and Distributed Machine Learning

Research project

关注AI模型上线、模型部署

Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

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

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

Scalable machine 🤖 learning for time series forecasting.