20180408ecoensemble

8puzzle

基于Python八数码问题算法(深广度算法，A星算法)

adaboost-toolbox

Improved boosting algorithms using confidence-rated predictions

adaptive-feature-weighted-k-means

This algorithm is based on the paper 'K-Means clustering algorithm Based on Adapative Feature Weighted'

awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

awesome-imbalanced-learning

A curated list of awesome imbalanced learning papers, codes, frameworks and libraries. | 类别不平衡学习：论文/代码/框架/库

bagging-instance-hardness

bankruptcy-prediction

Optimization of cluster-based evolutionary undersampling for the artificial neural networks in corporate bankruptcy prediction

blog

Build a blog with Beego MongoDB and Markdown

blog-1

(springboot+mybatis+thymeleaf）—— 小而美的个人博客项目

class-balanced-loss

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

cluster

python feature weighted k-means

data-crawling-and-analysing

《网络数据爬取与分析实务教程》相关代码与数据集

databooster

dbrf

DBRF code and reviews

deep_discriminative_features_learning_and_sampling_for_imbalanced_data_problem

Deep Discriminative Features Learning and Sampling for Imbalanced Data Problem

defragtrees

Python code for tree ensemble interpretation

des

test DES

dohlyzer

DoHlyzer is a DNS over HTTPS (DoH) traffic flow generator and analyzer for anomaly detection and characterization.

dt_and_kmeans

决策树 + adaboost + kmeans + 二分kmeans

ec3

EC3: Combining Clustering and Classification for Ensemble Learning – A novel algorithmic approach for classification.

edfkmeans

An R package for model selection in kmeans based on effective degrees of freedom.

ensemble_comparison

We present an extensive empirical comparison between twenty prototypical supervised ensemble learning algorithms, including Boosting, Bagging, Random Forests, Rotation Forests, Arc-X4, Class-Switching and their variants, as well as more recent techniques like Random Patches.

faster-kmeans

Code for a faster K-means clustering heuristic

flexible-clustering

Clustering for arbitrary data and dissimilarity function

gcforest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

go-music-download

感谢golango-cn提供的原始素材，本项目为其优化，存入Gopath即可运行

hierarchical-attention-model-for-intrusion-detection

We use attention model for intrusion detection. The idea of Hierarchical Attention Model for Intrusion Detection comes from the application of Attention in NLP.

ice

Individualized Classifier Ensemble

ids_gan