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lstm-talk

My talk on using LSTM & HTM for anomaly detection @ Google Developers Group.

lstm_anomaly_detector

A try to autoencode an LSTM to do anomaly detection

lstm_anomaly_thesis

Anomaly detection for temporal data using LSTMs

machinelearning-in-action

机器学习实战Python3实现/machine learning in action in python3

machinelearning_python

机器学习算法python实现

metis

Metis is a learnware platform in the field of AIOps.

models

Models and examples built with TensorFlow

network_anomaly_detection_deep_learning

This project has been conducted under the supervision of Dr. Jinoh Kim and Dr. Donghwoon Kwon at Texas A&M University-Commerce. The research outcome are published in the proceeding of IEEE ICNC 2018 (http://www.conf-icnc.org/2018/), with the title of “An Empirical Evaluation of Deep Learning for Network Anomaly Detection”.

nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

pentaho-kafka-consumer

Apache Kafka consumer step plug-in for Pentaho Kettle

pymining

A few data mining algorithms in pure python

python-100-days

Python - 100天从新手到大师

real-time-anomaly-detection-using-lstm

This repository aims to detect anomalies in a network packet capture on a real time basis.

repo-2017

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

rnn-time-series-anomaly-detection

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

sensorsdata_outliersdetection

Greenhouse anomaly detector based on different strategies (LSTM multivariate outlier detector, Twitter anomaly detector, Frequency analysis)

seq2seq-ad

Anomaly Detection with Seq2Seq model, implemented with Tensorflow

simple-demo

钻研技术用的各种demo

ssemdgw

上交所MDGW行情接入

systemcallanomalydetectionlstm

system call-based anomaly detection with LSTM

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.

tensorflow_scala

TensorFlow API for the Scala Programming Language

tensorflowonspark

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

tig-cnns

the completion of CNNs by myself

time-series-arima-xgboost-rnn

Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN

vae-for-anomaly-detection

MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow

variational-lstm-autoencoder

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

victory