An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

gradient-boosted regression and decision tree models on behavioural animal data

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

All Relevant Feature Selection

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Behavior-Based Malware Detection using GBDTs

Amazon SageMaker Local Mode Examples

Simple and Distributed Machine Learning

📘 The MLOps stack component for experiment tracking

Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs

Time series forecasting with scikit-learn models

Forecasting Ethereum return quantiles using a handful of different statistical learning models and selecting the best based on out of sample error. Hopsworks feature store and model registry is used to automate the process. Ethereum quantile returns are predicted daily and displayed on a Streamlit dashboard.

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

This project aims to provide web application for house price prediction. EDA, model comparison through Pycaret, hyper-parameter tuning and making pipeline model are included. The result is shown as a web application.

DimRed is a comprehensive Python toolkit for advanced dimensionality reduction, integrating with major machine learning libraries and featuring real-time performance monitoring to enhance data analysis and model efficiency.

Bunch of notebooks collection from Kaggle competitions.

A repository for almost every machine learning algorithms

Simple and efficient tools for data science.

An extension of LightGBM to probabilistic modelling

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch