Explore live open-source projects and AI models.

Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM

Performance of various open source GBM implementations

Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" published in IEEE GlobeCom 2021.

Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).

Java library and command-line application for converting LightGBM models to PMML

A tour through recommendation algorithms in python [IN PROGRESS]

Comparison tools

This is a project for predicting air pollutants in London by time series model, including lstm, bilstm, Convlstm, attention lstm, lightGBM and ARIMA

All Relevant Feature Selection

Using Kafka-Python to illustrate a ML production pipeline