dengxiongshi's repositories
Binary-Hybrid-algorithm-of-particle-swarm-optimization-and-Grey-Wolf-optimizer
Al-Tashi, Q., Abdulkadir, S. J., Rais, H. M., Mirjalili, S., & Alhussian, H. (2019). Binary Optimization Using Hybrid Grey Wolf Optimization for Feature Selection. IEEE Access, 1–1. doi:10.1109/access.2019.2906757
boruta_py
Python implementations of the Boruta all-relevant feature selection method.
CBFS
The source code of my paper _A Hierarchical Feature Selection and Ranking Method in Network Intrusion Detection_.
cost_based_selection
Implementations of cost-based feature selection methods in Python
CVFS_code
CVFS is a python program that employs a Cross-Validated Feature Selection (CVFS) algorithm for extracting the most related features for classification problems.
CWJR_FScode
the code of feature selection method CWJR_FS
ECFS
A Python implementation of the Ranking to Learn: Feature Ranking and Selection via Eigenvector Centrality paper.
ensembled-mRMR-feature-selection
RobustmRMR: a ensemble framework based on mRMR for feature selection. RedundancyThresholdSurv: group features and select one feature with the best performance from each group
evofs
Multi-objective evolutionary algorithms for feature selection
FeatureSelection
基于小样本数据挖掘的特征筛选库
FeatureSelectionGP
Gaussian process regression with feature selection
Fisher-Markov-feature-selector
Fisher-Markov feature selection
LeetCode
LeetCode刷题集合
mifs
Parallelized Mutual Information based Feature Selection module.
NaiveFeatureSelection
Code for NaiveFeatureSelection, i.e. feature selection in Naive Bayes, see https://arxiv.org/abs/1905.09884
netmt
S/C维护工具
pollution-select-feature-selection
conceptualizing method for feature selection
Py_FS
A Python Package for Feature Selection
pycit
(Conditional) Independence testing & Markov blanket feature selection using k-NN mutual information and conditional mutual information estimators. Supports continuous, discrete, and mixed data, as well as multiprocessing.
pyHSICLasso
Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
robust_weighted_classification
Code for "Class-Weighted Classification: Trade-offs and Robust Approaches"
scikit-rebate
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
sklearn-genetic
Genetic feature selection module for scikit-learn
smote_variants
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
socker
test repository for item
StackPPI
Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite