Fast and flexible AutoML with learning guarantees.

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

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

ML-Ensemble – high performance ensemble learning

We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensembl…

Python package for stacking (machine learning technique)

NLP in Python with Deep Learning

Deep Learning ❤️ PyTorch

Class-imbalanced Ensemble Learning in Python. | 类别不平衡/长尾机器学习库

ICDE'20 | A general & effective ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架

Video Face Manipulation Detection Through Ensemble of CNNs

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

Stacked Generalization (Ensemble Learning)

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)

An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn

This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to estimate canopy top height anywhere on Earth. The model estimates canopy top height for every Sentinel-2 image pixel and was trained using sparse GEDI LIDAR data as a reference.

Deep Neural Network Ensembles for Time Series Classification