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anomaly-detection-using-autoencoders

This is the implementation of Semi-supervised Anomaly Detection using AutoEncoders

anomaly-detection_varitaional-autoencoders

da-rnn

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

deepadots

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

deeplearningfortsf

深度学习以进行时间序列预测

donut

WWW 2018: Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

gan-ad

We used generative adversarial networks (GANs) to do anomaly detection for time series data.

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases.

keras-vae

keras_lstm_vae

Keras implementation of LSTM Variational Autoencoder

mad-gans

Applied generative adversarial networks (GANs) to do anomaly detection for time series data

mtad-gat-pytorch

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

omnianomaly

KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

pyod

(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

pytorch-mscred

recurrent-autoencoder

Recurrent Neural Networks based Autoencoder for Time Series Anomaly Detection

rnn-time-series-anomaly-detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

rnn-time-series-anomaly-detection-1

suod

(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

telemanom

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

tfsnippet

A set of utilities for writing and testing TensorFlow models

timeseriesforecasting

基于统计学的时间序列预测(AR,ARM).

vae

a simple vae and cvae from keras

variational-lstm-autoencoder

Lstm variational auto-encoder for time series anomaly detection and features extraction

zhusuan

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow