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ai-with-code

AI学习过程中的实操代码

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

arima_lstm

使用arima_lstm完成容量分析预测（cpu、内存、磁盘）

cs4225project

Project to use BackBlaze data set to predict hard drive failures

dagmm

DAGMM Tensorflow implementation

edgeml

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

gmvae

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

hdd_failure

Hard Drive failure prediction using Backblaze HDD and Stats

journal-club

An archive for past / upcoming / future journal club materials

lstm

基于LSTM神经网络的时间序列预测

lstm-fcn

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

machinelearningexp

MachineLearningExp.com projects

mad-gans

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

mscred

Multi-Scale Convolutional Recurrent Encoder-Decoder

nab

The Numenta Anomaly Benchmark

network-intrusion-detection

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

predictive-maintenance-demo

Exploring a predictive maintenance use case on GCP using hard drive data from BackBlaze

sd_failure_predictions

All latest models and approaches on prediction storage device failure

skyblog

一个简单的Spring Boot + Vue 前后端分离的博客系统 https://skymo.top

sql_node

sql学习笔记。

ssc0741-fpga-digits-recognition

tensorblaze

tensorflow model trained using backblaze disk drive failure statistics to predict future errors on disks

vae-lstm-for-anomaly-detection

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.