Machine Learning in R

MLBox is a powerful Automated Machine Learning python library.

A Julia machine learning framework

ML-Ensemble – high performance ensemble learning

Python package for stacking (machine learning technique)

A set of useful tools for competitive data science.

🍓 A healthy, byte-sized window manager written over the XLib Library

A jQuery plugin that creates a stacking effect by sticking panels as they reach the top of the viewport.

🎯 Personal data science and machine learning toolbox

Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

Stacked Generalization (Ensemble Learning)

[Data Castle 算法竞赛] 精品旅行服务成单预测 final rank 11

State-of-the art Automated Machine Learning python library for Tabular Data

Dataflow Programming for Machine Learning in R

💪 🤔 Modern Super Learning using Pipelines

Solution to Kaggle's PLAsTiCC Astronomical Classification Competition

advanced dynamic window manager

Time-scale phase-weighted stack software for seismic signal denoising

TextSentimentClassification, using tensorflow.

6th Place Solution for SMP CUP 2017(Three Prize)

Ensemble Learning for Apache Spark 🌲

In depth machine learning resources

This repository not only contains experience about parameter finetune, but also other in-practice experience such as model ensemble (boosting, bagging and stacking) in Kaggle or other competitions.

A multi-feature fusion and any blending(stacking) learning framework based on scikit-learn.

Nightlight: Astronomic Image Processing

My solution to Kaggle challenge "IEEE Camera Model Identification" [top 3%]

📦 Open source palletizing tool.

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.