168 Open source projects that are alternatives of or similar to outliertree

DDC-Outlier: Preventing medication errors using unsupervised learning

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A Python library for anomaly detection

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

[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.

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

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

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Repository for detecting outliers using Grubb's Threshold & Generalized Extreme Studentized Deviate (ESD) Test

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

benfordslaw is about the frequency distribution of leading digits.

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

Open-source framework to detect outliers in Elasticsearch events

Arduino library for identifying outliers with a Hampel filter

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

Digital Cell Sorter (DCS): single cell RNA-seq analysis toolkit. Documentation:

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

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…

Kibana Alert & Report App for Elasticsearch

Unsupervised anomaly detection with generative model, keras implementation

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

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

Latent space autoregression for novelty detection.

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

Solve many kinds of least-squares and matrix-recovery problems

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

基于智能计算框架nupic的异常检测restful Api.

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

Benchmark for DeepLearning anomaly detection

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

log anomaly detection toolkit including DeepLog

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

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

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使用极端值理论(Extreme Value Theory)实现阈值动态自动化设置

MemStream: Memory-Based Streaming Anomaly Detection

Find big moving stocks before they move using machine learning and anomaly detection

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

anomaly detection by one-class SVM

A curated list of awesome anomaly detection resources

anomaly detection with anomalize and Google Trends data

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

No description or website provided.

A high-level machine learning and deep learning library for the PHP language.

OpenSnitch is a GNU/Linux application firewall

Fairness regulator and rate limiter

Useful Toolbox for Anomaly Detection

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).

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

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