An open API service providing repository metadata for many open source software ecosystems.

Topic: "anomaly-detection"

pycaret/pycaret

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

Language: Jupyter Notebook - Size: 255 MB - Last synced at: 19 days ago - Pushed at: about 2 months ago - Stars: 9,330 - Forks: 1,805

yzhao062/pyod

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Language: Python - Size: 39.3 MB - Last synced at: 4 days ago - Pushed at: about 1 month ago - Stars: 9,231 - Forks: 1,416

sktime/sktime

A unified framework for machine learning with time series

Language: Python - Size: 77 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 9,051 - Forks: 1,612

yzhao062/anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

Language: Python - Size: 232 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 8,699 - Forks: 1,771

unit8co/darts

A python library for user-friendly forecasting and anomaly detection on time series.

Language: Python - Size: 173 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 8,641 - Forks: 937

open-edge-platform/anomalib

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

Language: Python - Size: 60.9 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 4,364 - Forks: 751

salesforce/Merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

Language: Python - Size: 101 MB - Last synced at: 18 days ago - Pushed at: 12 months ago - Stars: 4,290 - Forks: 339

TDAmeritrade/stumpy

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

Language: Python - Size: 127 MB - Last synced at: 2 days ago - Pushed at: 2 months ago - Stars: 3,931 - Forks: 333

rob-med/awesome-TS-anomaly-detection

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

Size: 141 KB - Last synced at: 17 days ago - Pushed at: 8 months ago - Stars: 3,065 - Forks: 453

hoya012/awesome-anomaly-detection

A curated list of awesome anomaly detection resources

Size: 2.3 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 2,798 - Forks: 514

Nixtla/nixtla

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

Language: Jupyter Notebook - Size: 281 MB - Last synced at: 7 days ago - Pushed at: 11 days ago - Stars: 2,771 - Forks: 230

curiousily/Getting-Things-Done-with-Pytorch

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 BER

Language: Jupyter Notebook - Size: 32.3 MB - Last synced at: 9 days ago - Pushed at: 11 months ago - Stars: 2,423 - Forks: 651

M-3LAB/awesome-industrial-anomaly-detection

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

Size: 6.39 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 2,278 - Forks: 202

axinc-ai/ailia-models

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

Language: Python - Size: 1.16 GB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 2,199 - Forks: 344

AIStream-Peelout/flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Language: Python - Size: 8.03 MB - Last synced at: 17 days ago - Pushed at: 18 days ago - Stars: 2,186 - Forks: 300

logpai/loghub

A large collection of system log datasets for AI-driven log analytics [ISSRE'23]

Size: 7 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 2,143 - Forks: 673

RubixML/ML

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

Language: PHP - Size: 31.3 MB - Last synced at: 10 days ago - Pushed at: 28 days ago - Stars: 2,136 - Forks: 191

tradytics/surpriver

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

Language: Python - Size: 1.97 MB - Last synced at: 16 days ago - Pushed at: almost 4 years ago - Stars: 1,807 - Forks: 336

logpai/logparser

A machine learning toolkit for log parsing [ICSE'19, DSN'16]

Language: Python - Size: 258 MB - Last synced at: 18 days ago - Pushed at: about 2 months ago - Stars: 1,753 - Forks: 571

linjinjin123/awesome-AIOps

AIOps学习资料汇总,欢迎一起补全这个仓库,欢迎star

Size: 58.6 KB - Last synced at: 29 days ago - Pushed at: about 1 year ago - Stars: 1,636 - Forks: 364

safe-graph/graph-fraud-detection-papers

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

Size: 316 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 1,571 - Forks: 269

datamllab/tods

TODS: An Automated Time-series Outlier Detection System

Language: Python - Size: 31.2 MB - Last synced at: 16 days ago - Pushed at: over 1 year ago - Stars: 1,567 - Forks: 202

pygod-team/pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)

Language: Python - Size: 1.04 MB - Last synced at: 10 days ago - Pushed at: 7 months ago - Stars: 1,420 - Forks: 135

nsoojin/coursera-ml-py

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

Language: Python - Size: 21.9 MB - Last synced at: 15 days ago - Pushed at: almost 5 years ago - Stars: 1,415 - Forks: 483

logpai/loglizer

A machine learning toolkit for log-based anomaly detection [ISSRE'16]

Language: Jupyter Notebook - Size: 10.6 MB - Last synced at: 16 days ago - Pushed at: about 1 year ago - Stars: 1,353 - Forks: 433

sentinl/sentinl

Kibana Alert & Report App for Elasticsearch

Language: JavaScript - Size: 79.1 MB - Last synced at: 16 days ago - Pushed at: about 1 year ago - Stars: 1,334 - Forks: 295

chickenbestlover/RNN-Time-series-Anomaly-Detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

Language: Python - Size: 33.5 MB - Last synced at: 15 days ago - Pushed at: almost 4 years ago - Stars: 1,272 - Forks: 316

linkedin/luminol

Anomaly Detection and Correlation library

Language: Python - Size: 209 KB - Last synced at: 9 days ago - Pushed at: about 2 years ago - Stars: 1,211 - Forks: 218

sintel-dev/Orion

Unsupervised time series anomaly detection library

Language: Python - Size: 34.4 MB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 1,210 - Forks: 178

RubensZimbres/Repo-2017

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

Language: Python - Size: 40.4 MB - Last synced at: 15 days ago - Pushed at: over 3 years ago - Stars: 1,191 - Forks: 677

open-edge-platform/training_extensions

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

Language: Python - Size: 417 MB - Last synced at: 8 days ago - Pushed at: 9 days ago - Stars: 1,189 - Forks: 451

arundo/adtk

A Python toolkit for rule-based/unsupervised anomaly detection in time series

Language: Python - Size: 23.5 MB - Last synced at: 10 days ago - Pushed at: 10 months ago - Stars: 1,156 - Forks: 156

khundman/telemanom

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.

Language: Jupyter Notebook - Size: 9.31 MB - Last synced at: 17 days ago - Pushed at: 5 months ago - Stars: 1,088 - Forks: 256

curiousily/Deep-Learning-For-Hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Language: Jupyter Notebook - Size: 22.2 MB - Last synced at: 15 days ago - Pushed at: about 5 years ago - Stars: 1,048 - Forks: 439

Jingkang50/OpenOOD

Benchmarking Generalized Out-of-Distribution Detection

Language: Python - Size: 78.3 MB - Last synced at: 15 days ago - Pushed at: 19 days ago - Stars: 962 - Forks: 136

Minqi824/ADBench

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

Language: Python - Size: 2.01 GB - Last synced at: 9 days ago - Pushed at: almost 2 years ago - Stars: 940 - Forks: 141

huytransformer/Awesome-Out-Of-Distribution-Detection

Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc

Size: 501 KB - Last synced at: 28 days ago - Pushed at: about 1 month ago - Stars: 911 - Forks: 74

MentatInnovations/datastream.io

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

Language: Python - Size: 2.47 MB - Last synced at: 14 days ago - Pushed at: about 5 years ago - Stars: 906 - Forks: 168

lixus7/Time-Series-Works-Conferences

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

Size: 4.21 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 892 - Forks: 92

thuml/Anomaly-Transformer

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

Language: Python - Size: 26 MB - Last synced at: 10 days ago - Pushed at: over 1 year ago - Stars: 862 - Forks: 225

samet-akcay/ganomaly 📦

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Language: Python - Size: 73.2 KB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 856 - Forks: 213

shubhomoydas/ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Language: Python - Size: 125 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 855 - Forks: 184

caoyunkang/Segment-Any-Anomaly

Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".

Language: Jupyter Notebook - Size: 50.5 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 788 - Forks: 79

zillow/luminaire

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

Language: Python - Size: 16.6 MB - Last synced at: 16 days ago - Pushed at: over 1 year ago - Stars: 780 - Forks: 60

chaos-genius/chaos_genius 📦

ML powered analytics engine for outlier detection and root cause analysis.

Language: Python - Size: 10.2 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 756 - Forks: 84

Stream-AD/MIDAS

Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

Language: C++ - Size: 30.1 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 749 - Forks: 92

safe-graph/DGFraud

A Deep Graph-based Toolbox for Fraud Detection

Language: Python - Size: 80.4 MB - Last synced at: 14 days ago - Pushed at: about 3 years ago - Stars: 731 - Forks: 163

lukasruff/Deep-SVDD-PyTorch

A PyTorch implementation of the Deep SVDD anomaly detection method

Language: Python - Size: 2.1 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 713 - Forks: 201

Project-MONAI/GenerativeModels 📦

MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications

Language: Jupyter Notebook - Size: 13.9 MB - Last synced at: 5 days ago - Pushed at: 11 months ago - Stars: 681 - Forks: 100

swwwolf/wdbgark

WinDBG Anti-RootKit Extension

Language: C++ - Size: 2.94 MB - Last synced at: 10 months ago - Pushed at: almost 5 years ago - Stars: 611 - Forks: 178

spectralpython/spectral

Python module for hyperspectral image processing

Language: Python - Size: 1.38 MB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 604 - Forks: 144

aapatel09/handson-unsupervised-learning

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

Language: Jupyter Notebook - Size: 99.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 604 - Forks: 314

lmmentel/awesome-time-series

Resources for working with time series and sequence data

Size: 171 KB - Last synced at: 14 days ago - Pushed at: 5 months ago - Stars: 596 - Forks: 90

salesforce/logai

LogAI - An open-source library for log analytics and intelligence

Language: Python - Size: 29.9 MB - Last synced at: 16 days ago - Pushed at: 7 months ago - Stars: 583 - Forks: 84

logpai/Drain3

A robust streaming log template miner based on the Drain algorithm

Language: Python - Size: 204 KB - Last synced at: 9 days ago - Pushed at: 4 months ago - Stars: 563 - Forks: 152

KDD-OpenSource/DeepADoTS

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

Language: Python - Size: 3.59 MB - Last synced at: 10 months ago - Pushed at: about 3 years ago - Stars: 559 - Forks: 115

hendrycks/outlier-exposure

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

Language: Python - Size: 360 MB - Last synced at: 13 days ago - Pushed at: over 3 years ago - Stars: 559 - Forks: 107

curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

Language: Jupyter Notebook - Size: 67.9 MB - Last synced at: 13 days ago - Pushed at: almost 6 years ago - Stars: 552 - Forks: 285

earthgecko/skyline

Anomaly detection

Language: Python - Size: 26.8 MB - Last synced at: 10 months ago - Pushed at: over 1 year ago - Stars: 535 - Forks: 63

baidu/Curve 📦

An Integrated Experimental Platform for time series data anomaly detection.

Language: JavaScript - Size: 1.78 MB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 534 - Forks: 134

cure-lab/Awesome-time-series

A comprehensive survey on the time series domains

Size: 953 KB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 532 - Forks: 50

imperial-qore/TranAD

[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

Language: Python - Size: 133 MB - Last synced at: 6 months ago - Pushed at: 11 months ago - Stars: 526 - Forks: 160

moment-timeseries-foundation-model/moment

MOMENT: A Family of Open Time-series Foundation Models, ICML'24

Language: TypeScript - Size: 13.3 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 521 - Forks: 80

mims-harvard/UniTS

A unified multi-task time series model.

Language: Python - Size: 47.9 KB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 517 - Forks: 76

kLabUM/rrcf

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

Language: Python - Size: 4.45 MB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 508 - Forks: 112

xuhongzuo/DeepOD

Deep learning-based outlier/anomaly detection

Language: Python - Size: 3.53 MB - Last synced at: 18 days ago - Pushed at: 9 months ago - Stars: 505 - Forks: 58

qdrant/awesome-metric-learning

😎 A curated list of awesome practical Metric Learning and its applications

Size: 46.9 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 504 - Forks: 21

lin-shuyu/VAE-LSTM-for-anomaly-detection

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

Language: Jupyter Notebook - Size: 2.01 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 471 - Forks: 87

lzz19980125/awesome-time-series-segmentation-papers

This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.

Language: MATLAB - Size: 836 KB - Last synced at: 25 days ago - Pushed at: 4 months ago - Stars: 459 - Forks: 11

Jingkang50/OODSurvey

The Official Repository for "Generalized OOD Detection: A Survey"

Language: Jupyter Notebook - Size: 2.08 MB - Last synced at: 13 days ago - Pushed at: over 2 years ago - Stars: 455 - Forks: 40

StevenLiuWen/ano_pred_cvpr2018

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

Language: Python - Size: 603 KB - Last synced at: 13 days ago - Pushed at: over 1 year ago - Stars: 448 - Forks: 124

GACWR/OpenUBA

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]

Language: Python - Size: 20.6 MB - Last synced at: 14 days ago - Pushed at: about 1 year ago - Stars: 429 - Forks: 247

ankane/prophet-ruby

Time series forecasting for Ruby

Language: Ruby - Size: 1.84 MB - Last synced at: 10 days ago - Pushed at: 2 months ago - Stars: 416 - Forks: 10

d0ng1ee/logdeep

log anomaly detection toolkit including DeepLog

Language: Python - Size: 6 MB - Last synced at: 5 months ago - Pushed at: about 5 years ago - Stars: 409 - Forks: 117

Desbordante/desbordante-core

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

Language: C++ - Size: 143 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 403 - Forks: 76

gustavo-iniguez-goya/opensnitch Fork of evilsocket/opensnitch

OpenSnitch is a GNU/Linux application firewall

Language: Python - Size: 13.8 MB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 397 - Forks: 20

wuyifan18/DeepLog

Pytorch Implementation of DeepLog.

Language: Python - Size: 1.45 MB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 389 - Forks: 157

yzhao062/SUOD

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

Language: Python - Size: 10.9 MB - Last synced at: 15 days ago - Pushed at: 2 months ago - Stars: 387 - Forks: 49

matrix-profile-foundation/matrixprofile

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

Language: Python - Size: 6.69 MB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 385 - Forks: 63

hushuguo/awesome-time-series-papers

This repository offers a collection of recent time series research papers, including forecasting, anomaly detection and so on , with links to code and resources.

Size: 215 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 384 - Forks: 13

chen0040/keras-anomaly-detection

Anomaly detection implemented in Keras

Language: Python - Size: 68.8 MB - Last synced at: 5 days ago - Pushed at: about 7 years ago - Stars: 376 - Forks: 155

petrobras/3W

Promotes development of ML algorithms for early detection and classification of undesirable events in offshore oil wells.

Language: Jupyter Notebook - Size: 3 GB - Last synced at: 15 days ago - Pushed at: about 1 month ago - Stars: 371 - Forks: 90

jmartinezheras/2018-MachineLearning-Lectures-ESA

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

Language: Jupyter Notebook - Size: 58.3 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 358 - Forks: 147

jixinpu/aiopstools

The fundamental package for AIops with python.

Language: Python - Size: 136 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 354 - Forks: 136

business-science/anomalize

Tidy anomaly detection

Language: R - Size: 41.9 MB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 339 - Forks: 61

xiahaifeng1995/PaDiM-Anomaly-Detection-Localization-master

This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”.

Language: Python - Size: 2.39 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 332 - Forks: 85

hastic-zzz/hastic-server

Hastic data management server for analyzing patterns and anomalies from Grafana

Language: TypeScript - Size: 2.93 MB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 330 - Forks: 23

microsoft/TagAnomaly

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

Language: R - Size: 1.79 MB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 329 - Forks: 62

AICoE/log-anomaly-detector 📦

Log Anomaly Detection - Machine learning to detect abnormal events logs

Language: Jupyter Notebook - Size: 18.7 MB - Last synced at: 29 days ago - Pushed at: about 2 years ago - Stars: 327 - Forks: 132

vc1492a/PyNomaly

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

Language: Python - Size: 34.1 MB - Last synced at: 2 days ago - Pushed at: 6 months ago - Stars: 323 - Forks: 37

lukasruff/Deep-SAD-PyTorch

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

Language: Python - Size: 658 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 318 - Forks: 91

waico/SKAB

SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.

Language: Jupyter Notebook - Size: 32.5 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 306 - Forks: 55

tsurubee/banpei

Anomaly detection library based on singular spectrum transformation(sst)

Language: Python - Size: 792 KB - Last synced at: 10 months ago - Pushed at: over 4 years ago - Stars: 301 - Forks: 47

activecm/rita

Real Intelligence Threat Analytics (RITA) is a framework for detecting command and control communication through network traffic analysis.

Language: Go - Size: 172 MB - Last synced at: 15 days ago - Pushed at: 19 days ago - Stars: 295 - Forks: 33

kkirchheim/pytorch-ood

👽 Out-of-Distribution Detection with PyTorch

Language: Python - Size: 2.22 MB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 293 - Forks: 29

tianyu0207/RTFM

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

Language: Python - Size: 102 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 285 - Forks: 68

TimyadNyda/Variational-Lstm-Autoencoder

Lstm variational auto-encoder for time series anomaly detection and features extraction

Language: Python - Size: 37.1 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 278 - Forks: 59

DataCanvasIO/HyperTS

A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

Language: Python - Size: 7.62 MB - Last synced at: 14 days ago - Pushed at: about 2 months ago - Stars: 276 - Forks: 30

GuansongPang/ADRepository-Anomaly-detection-datasets

ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.

Size: 40.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 267 - Forks: 43

LeeDoYup/AnoGAN-tf

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Language: Python - Size: 723 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 264 - Forks: 96

Related Topics
machine-learning 607 deep-learning 402 python 306 time-series 233 pytorch 174 outlier-detection 158 unsupervised-learning 135 autoencoder 133 data-science 131 tensorflow 97 computer-vision 90 classification 76 time-series-analysis 76 clustering 75 isolation-forest 72 neural-network 71 fraud-detection 64 anomaly 58 data-mining 58 keras 57 anomalydetection 54 python3 53 lstm 52 logistic-regression 52 neural-networks 45 ai 45 timeseries 43 intrusion-detection 43 machine-learning-algorithms 43 cybersecurity 42 scikit-learn 41 artificial-intelligence 41 data-analysis 39 dataset 38 linear-regression 38 forecasting 37 generative-adversarial-network 37 data-visualization 35 security 35 regression 35 semi-supervised-learning 34 out-of-distribution-detection 34 novelty-detection 33 gan 33 pandas 33 pca 33 random-forest 32 iot 32 recommender-system 31 graph-neural-networks 31 deep-neural-networks 31 convolutional-neural-networks 30 jupyter-notebook 30 supervised-learning 30 sklearn 27 unsupervised-machine-learning 27 svm 27 autoencoders 27 ids 26 object-detection 26 r 26 mvtec-ad 25 log-analysis 24 variational-autoencoder 24 statistics 24 cnn 24 support-vector-machines 23 feature-engineering 23 anomaly-detection-algorithm 23 principal-component-analysis 23 ml 22 reinforcement-learning 22 visualization 22 kmeans-clustering 21 credit-card-fraud 21 predictive-maintenance 21 network-analysis 20 monitoring 20 k-means-clustering 20 docker 20 detection 19 lstm-neural-networks 19 self-supervised-learning 19 xgboost 18 anomaly-segmentation 18 network 18 one-class-classification 17 matlab 17 prediction 17 dimensionality-reduction 17 image-classification 17 numpy 17 ood-detection 17 one-class-learning 17 vae 17 streamlit 16 nlp 16 time-series-forecasting 16 segmentation 16 image-processing 16