EvaFlower

tf-dagmm

Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Keras-MNIST-GAN

Simple Generative Adversarial Networks for MNIST data with Keras.

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

PacGAN

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

GanModeCollapseEvaluation

Code for training Generative Adversarial Networks (GANs) and evaluating the models' mode collapse

VEEGAN

VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

pytorch-MNIST-CelebA-cGAN-cDCGAN

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

dagmm

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

HD-CelebA-Cropper

To obtain high resolution face images from CelebA

tensorflow-fcwta

Fully-connected winner-take-all autoencoder implemented in TensorFlow.

AE-1SVM

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

L3SVMs

new Machine Learning approach for classification, based on local SVMs

DeepOneClass

Deep learning based one class classification code targeting one class image classification. Tests carried out on Abnormal image detection, Novel image detection and Active Authentication reported state of the art results.

SwarmSVM

:exclamation: This is a read-only mirror of the CRAN R package repository. SwarmSVM — Ensemble Learning Algorithms Based on Support Vector Machines

nn

thundersvm

ThunderSVM: A Fast SVM Library on GPUs and CPUs

gru-svm

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

svm-pytorch

Linear SVM with PyTorch

sklearn-bayes

Python package for Bayesian Machine Learning with scikit-learn API

Keras-GAN

Keras implementations of Generative Adversarial Networks.

steady_state_embedding

Learning Steady-States of Iterative Algorithms over Graphs

filesystems

Example file systems

osxfuse

FUSE extends macOS by adding support for user space file systems