Fast and Accurate ML in 3 Lines of Code
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Updated
Nov 17, 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)
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
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…
ML-Ensemble – high performance ensemble learning
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
Scikit-learn compatible estimation of general graphical models
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