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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)

pyod

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

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