A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

🏆1st solution in web ad CTR predict competition🏆

A full pipeline AutoML tool for tabular data

Amazon SageMaker Local Mode Examples

TSForecasting: Automated Time Series Forecasting Framework

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

Legal case retrieval challenge. Solution based on similarity search and learning-to-rank methods

The project contains a CatBoost model that makes predictions according to an uploaded csv file using a flask wrapper.

Python package that predicts the appeal topic, topic group and the executor to process the appeal based on its contents

Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"

MLOps – HSE MMLDS 23/24 [python service for training and inferring Catboost classification model on Iris dataset]

Almost and AutoML around xgb, catboost and lightgbm

Project for applied classical ML course at the Weizmann institute

Python package for automated hyperparameter-optimization of common machine-learning algorithms

DNAttend - Experimental ML framework for predicting patient non-attendance

🧪categorical tabnet research part🧪

Harness the power of machine learning to forecast rice and wheat crop yields per acre in India, aiming to empower smallholder farmers, combat poverty and malnutrition, utilizing data from Digital Green surveys to revolutionize agriculture and promote sustainable practices in the face of climate change for enhanced global food security.

Utilities for scikit-learn. Append prediction to x, append prediction to x single, append x prediction to x, compose var estimator, data frame wrapper, drop by noise prediction, drop missing rows y, dummy regressor var, estimator wrapper base, excluded column transformer pandas, feature union pandas, id transformer, included column transformer pand

A curated list of gradient boosting research papers with implementations.

A collection of research papers on decision, classification and regression trees with implementations.