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Density-based clustering unsupervised ensemble learning methods for forecasting double seasonal time series
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Merlion: A Machine Learning Framework for Time Series Intelligence
A Julia machine learning framework
? Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切:论文、代码、框架与库
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
RNN based Time-series Anomaly detector model implemented in Pytorch.
Forecasting Functions for Time Series and Linear Models
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
(AAAI' 20) A Python Toolbox for Machine Learning Model Combination