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
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.
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
Merlion: A Machine Learning Framework for Time Series Intelligence
A collection of research papers on decision, classification and regression trees with implementations.
A Julia machine learning framework
General Assembly's 2015 Data Science course in Washington, DC
😎 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
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.
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021年2月1日)
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
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
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