Fast and flexible AutoML with learning guarantees.
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Updated
Aug 30, 2021 - Jupyter Notebook
Fast and flexible AutoML with learning guarantees.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
ML-Ensemble – high performance ensemble learning
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
Python package for stacking (machine learning technique)
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…
NLP in Python with Deep Learning
Deep Learning
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
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
Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库
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)
Video Face Manipulation Detection Through Ensemble of CNNs
An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
Deep Neural Network Ensembles for Time Series Classification
NeurIPS’20 | Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题
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