159 Open source projects that are alternatives of or similar to Csi

A machine learning plugin in Open Distro for Elasticsearch for real time anomaly detection on streaming data.

Faster and more precisely than Grad-CAM

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.

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).

Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch

Supplementary material for KDD 2018 workshop "DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles"

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Benchmark for DeepLearning anomaly detection

Repository for the Explainable Deep One-Class Classification paper

A repository for code accompanying the manuscript 'An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series' (published at TNNLS)

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Deploying a Batch Scoring Pipeline for Python Models

Source code for Skip-GANomaly paper

Implementation of the famous Image Manipulation\Forgery Detector "ManTraNet" in Pytorch

Anomaly detection related books, papers, videos, and toolboxes

Resources for working with time series and sequence data

An Unsupervised Graph-based Toolbox for Fraud Detection

⭐ An anomaly-based intrusion detection system.

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

fast implementation of singular spectrum transformation (change point detection algorithm)

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

anomaly detection with anomalize and Google Trends data

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

MemStream: Memory-Based Streaming Anomaly Detection

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

Official source code of "Fast Adaptive RNN Encoder-Decoder for Anomaly Detection in SMD Assembly Machine"

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

The Combined Anomalous Object Segmentation (CAOS) Benchmark

Deep Learning sample programs using PyTorch in C++

Official code for 'Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning' [ICCV 2021]

Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Anomaly Detection and Correlation library

Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"

An open-source, low-code machine learning library in Python

Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)

Kibana Alert & Report App for Elasticsearch

The collection of pre-trained, state-of-the-art AI models for ailia SDK

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

基于智能计算框架nupic的异常检测restful Api.

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]

Machine Learning Lectures at the European Space Agency (ESA) in 2018

Interactive Visualization to Build, Train and Test an Autoencoder with Tensorflow.js

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

anomaly detection by one-class SVM

Tidy anomaly detection

No description or website provided.

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, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

Contains the thorough experiments made for a FloydHub article on Anomaly Detection

Code for reproducing f-AnoGAN in Pytorch

Time series based anomaly detector

Thio - a playground for real-time anomaly detection

Foremast adds application resiliency to Kubernetes by leveraging machine learnt patterns of application health to keep applications healthy and stable

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

A curated list of awesome anomaly detection resources

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

A toolkit for automated log parsing [ICSE'19, TDSC'18, DSN'16]

This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.