226 Open source projects that are alternatives of or similar to Banpei

An End-to-end Outlier Detection System

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

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

Anomaly detection related books, papers, videos, and toolboxes

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

Resources for working with time series and sequence data

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

log anomaly detection toolkit including DeepLog

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

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

A use-case focused tutorial for time series forecasting with python

A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Security Analytics. Developed with luv by Data Scientists & Security Analysts from the Cyber Security Industry. [PRE-ALPHA]

An open source library for Fuzzy Time Series in Python

Fast & scalable MCMC for all your exoplanet needs!

Anomaly detection for temporal data using LSTMs

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Latent space autoregression for novelty detection.

bambooBSC is an opensource Balanced Scorecard (BSC) Business Intelligence (BI) Web platform. BSC's Vision, Perspectives, Objectives of strategy, Key Performance Indicators (KPIs), Strategy Map, and SWOT, PDCA & PDCA report, Time Series Analysis.

A language for time-series analysis

Log Anomaly Detection - Machine learning to detect abnormal events logs

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:

A curated list of awesome anomaly detection resources

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

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

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

Log-based Impactful Problem Identification using Machine Learning [FSE'18]

Unsupervised anomaly detection with generative model, keras implementation

Stock Analysis Tutorial in Python

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

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)

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

A machine learning toolkit dedicated to time-series data

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

Deep Learning sample programs using PyTorch in C++

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

Source code for Skip-GANomaly paper

Open-source framework to detect outliers in Elasticsearch events

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.

Hastic data management server for labeling patterns and anomalies in Grafana

Real-World Anomaly Detection in Surveillance Videos

Kibana Alert & Report App for Elasticsearch

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

[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.

Anything can happen in the next half hour (including spectral timing made easy)!

Isolation Forest on Spark

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

TSrepr: R package for time series representations

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

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

LiCSBAS: InSAR time series analysis package using LiCSAR products

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

Repository for the Deep One-Class Classification ICML 2018 paper

A Python module implementing some standard algorithms used in nonlinear time series analysis

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

A framework for systemic risk valuation and analysis.

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

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

The fundamental package for AIops with python.

🌝 Lottery prediction besides of following "law of proability","Probability: Independent Events", there are still "Saying "a Tail is due", or "just one more go, my luck is due to change" is called The Gambler's Fallacy" existed.