yzhao062 / comboLinks
(AAAI' 20) A Python Toolbox for Machine Learning Model Combination
☆658Updated 3 years ago
Alternatives and similar repositories for combo
Users that are interested in combo are comparing it to the libraries listed below
Sorting:
- XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions☆337Updated last year
- (MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)☆392Updated 9 months ago
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆256Updated 6 years ago
- Ensemble learning related books, papers, videos, and toolboxes☆304Updated 6 years ago
- SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks☆658Updated last year
- [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☆262Updated last year
- Features selector based on the self selected-algorithm, loss function and validation method☆680Updated 6 years ago
- An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)☆961Updated 4 months ago
- A Python library for dynamic classifier and ensemble selection☆496Updated last year
- ML-Ensemble – high performance ensemble learning☆860Updated 2 years ago
- Python package for stacking (machine learning technique)☆701Updated 2 months ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆708Updated 4 years ago
- mtgbmcode☆177Updated 3 years ago
- Feature exploration for supervised learning☆761Updated 4 years ago
- A practical feature engineering handbook☆332Updated 5 years ago
- ☆248Updated 4 years ago
- Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms☆637Updated 2 years ago
- Github开源项目hyperopt系列的中文文档,以及学习教程等☆163Updated 5 years ago
- A feature engineering kit for each issue, to give you a deeper and deeper understanding of the work of feature engineering!☆669Updated 5 years ago
- ☆207Updated 6 years ago
- Distributed scikit-learn meta-estimators in PySpark☆286Updated 8 months ago
- GBST is an optimized distributed gradient boosting survival trees library that is implemented based on the XGBoost☆37Updated 5 years ago
- ESC Team's credit scorecard tools.☆516Updated 3 weeks ago
- Feature selector is a tool for dimensionality reduction of machine learning datasets☆2,236Updated last year
- A scikit-learn based module for multi-label et. al. classification☆953Updated last year
- PAKDD AutoML challenge 2nd Feature Engineering Part☆70Updated 4 years ago
- Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)☆186Updated 3 years ago
- A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection fea…☆680Updated 2 years ago
- ☆297Updated 3 years ago
- Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles☆93Updated 9 years ago