160 Open source projects that are alternatives of or similar to RTFM

Official codes for CVPR2021 paper "MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection"

Useful Toolbox for Anomaly Detection

Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)

Code for reproducing f-AnoGAN in Pytorch

Repository for the Deep One-Class Classification ICML 2018 paper

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

No description or website provided.

Open-source framework to detect outliers in Elasticsearch events

Sherlock is an anomaly detection service built on top of Druid

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

some anomaly detection models and experiments.

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

A scikit-learn compatible library for anomaly detection

anomaly detection by one-class SVM

The fundamental package for AIops with python.

Official PyTorch implementation of the paper “Explainable Deep Few-shot Anomaly Detection with Deviation Networks”, weakly/partially supervised anomaly detection, few-shot anomaly detection, image defect detection.

Go implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams

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

Isolation Forest on Spark

Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"

Unsupervised anomaly detection with generative model, keras implementation

The Kubervisor allow you to control which pods should receive traffic or not based on anomaly detection.It is a new kind of health check system.

Latent space autoregression for novelty detection.

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

Python toolbox for transfer learning.

A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.

The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks

IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder

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

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

Anomaly detection library based on singular spectrum transformation(sst)

Industrial knn-based anomaly detection for images. Visit streamlit link to check out the demo.

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

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

Pytorch Implementation of DeepLog.

Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on J…

Anomaly detection for temporal data using LSTMs

基于智能计算框架nupic的异常检测restful Api.

Log Anomaly Detection - Machine learning to detect abnormal events logs

TOD: GPU-accelerated Outlier Detection via Tensor Operations

Hastic data management server for labeling patterns and anomalies in Grafana

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

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Feature Space Singularity for Out-of-Distribution Detection. (SafeAI 2021)

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

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

Anomaly detection for streaming time series, featuring automated model selection.

This is the code for the paper nemed 'Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation'

STUMPY is a powerful and scalable Python library for modern time series analysis

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

An End-to-end Outlier Detection System

Main component extraction for outlier detection

Real-World Anomaly Detection in Surveillance Videos

Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events. Oral paper in ACM Multimedia 2020.

List of tools & datasets for anomaly detection on time-series data.

A Ground Mobile Robot Perception Dataset, IEEE RA-L & IEEE T-CYB

Implementation of feature engineering from Feature engineering strategies for credit card fraud

PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)

A quick and dirty vehicle speed detector using video + anomaly detection