yzhao062 / combo
(AAAI' 20) A Python Toolbox for Machine Learning Model Combination
☆649Updated 2 years ago
Alternatives and similar repositories for combo:
Users that are interested in combo are comparing it to the libraries listed below
- (MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)☆384Updated last year
- Ensemble learning related books, papers, videos, and toolboxes☆293Updated 5 years ago
- Features selector based on the self selected-algorithm, loss function and validation method☆676Updated 5 years ago
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆249Updated 5 years ago
- [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☆256Updated last year
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆705Updated 4 years ago
- SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks☆648Updated 7 months ago
- XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions☆317Updated last year
- A Python library for dynamic classifier and ensemble selection☆484Updated 11 months ago
- ML-Ensemble – high performance ensemble learning☆852Updated last year
- Feature exploration for supervised learning☆763Updated 4 years ago
- ☆249Updated 3 years ago
- An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)☆937Updated 10 months ago
- Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms☆624Updated last year
- ☆204Updated 5 years ago
- ThunderGBM: Fast GBDTs and Random Forests on GPUs☆696Updated this week
- ☆286Updated 2 years ago
- Python package for stacking (machine learning technique)☆691Updated 7 months ago
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆415Updated 2 years ago
- Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)☆173Updated 3 years ago
- Tools for WoE Transformation mostly used in ScoreCard Model for credit rating☆255Updated 5 years ago
- A feature engineering kit for each issue, to give you a deeper and deeper understanding of the work of feature engineering!☆673Updated 4 years ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆509Updated 5 months ago
- Python module for machine learning time series:☆574Updated 2 years ago
- A practical feature engineering handbook☆323Updated 4 years ago
- mtgbmcode☆170Updated 2 years ago
- machine learning with logical rules in Python☆630Updated last year
- Automated feature engineering in Python with Featuretools☆515Updated 6 years ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,689Updated this week
- python partial dependence plot toolbox☆852Updated 6 months ago