Fast and Accurate ML in 3 Lines of Code
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Updated
Jul 16, 2024 - Python
Fast and Accurate ML in 3 Lines of Code
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
Merlion: A Machine Learning Framework for Time Series Intelligence
A collection of research papers on decision, classification and regression trees with implementations.
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
ML-Ensemble – high performance ensemble learning
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convol…
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
Python package for stacking (machine learning technique)
(AAAI' 20) A Python Toolbox for Machine Learning Model Combination
A Python library for dynamic classifier and ensemble selection
RMDL: Random Multimodel Deep Learning for Classification
A full pipeline AutoML tool for tabular data
🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库
Ensemble learning related books, papers, videos, and toolboxes
[ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用,高效,鲁棒的类别不平衡学习框架
A repository contains more than 12 common statistical machine learning algorithm implementations. 常见机器学习算法原理与实现
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