wuyukun888

pyod

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

1book

《Web安全之机器学习入门》

2book

《Web安全之深度学习实战》

AE-1SVM

Source code of Paper: Scalable and Interpretable One-class SVMs with Deep Learning and Random Fourier features

convolutional_deep_gp_random_features

Implementation of paper Calibrating Deep Convolutional Gaussian Processes

DeepTraffic

Deep Learning models for network traffic classification

dimensionality_reduction_alo_codes

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

DNMSVM

Deep kernel mapping SVM.

ids_nb15

Intrussion Detection System - ML for UNSW-NB15 data set

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

LMKAD

Localized Multiple Kernel Learning for Anomaly Detection: One-Class Classification

MachineLearning

Basic Machine Learning and Deep Learning

machineLearning-1

supervised and unsupervised algorithms from Andrew Ng's machine learning class

MachineLearning_Python

机器学习算法python实现

MKLpy

A package for Multiple Kernel Learning in Python

Network-Intrusion-Detection

Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15

Nystrom_Method_vs_Random_Fourier_Features

ocsvm

ocsvm-anomaly-detection

anomaly detection by one-class SVM

one_class_nn

repository containing code for experimenting with one class svm and one class neural networks( Autoencoders, GAN's etc)

RandomFourierFeatures

Implementation of random fourier features for support vector machine

RBF_NN_tensorflow

RBF neural network was constructed using tensorflow framework

Reinforcement_Learning_Blog

This code is written for the blogs

scikit-learn

scikit-learn: machine learning in Python