190 Open source projects that are alternatives of or similar to Logdeep

App to easily query, script, and visualize data from every database, file, and API.

This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.

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.

Merlion: A Machine Learning Framework for Time Series Intelligence

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.

SyntheticSun is a defense-in-depth security automation and monitoring framework which utilizes threat intelligence, machine learning, managed AWS security services and, serverless technologies to continuously prevent, detect and respond to threats.

Free and open source log management

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

Time series based anomaly detector

(Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning

Anomaly Detection and Correlation library

A list of awesome research on log analysis, anomaly detection, fault localization, and AIOps

Useful Toolbox for Anomaly Detection

Deep Learning sample programs using PyTorch in C++

Faster and more precisely than Grad-CAM

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

A lightweight (simplistic) log analyzer for Nginx.

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

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

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)

ADRepository: Real-world anomaly detection datasets

A curated list of awesome anomaly detection resources

OpenSnitch is a GNU/Linux application firewall

An R package for space-time anomaly detection using scan statistics.

👗 Dress up your stdout

Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

WinDBG Anti-RootKit Extension

Tidy tools for session reconstruction and analysis

IWQoS 2017: A toolkit for log template extraction

ThinkPHP 漏洞 综合利用工具, 图形化界面, 命令执行, 一键getshell, 批量检测, 日志遍历, session包含, 宝塔绕过

An Integrated Experimental Platform for time series data anomaly detection.

Resources for working with time series and sequence data

This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.

Very basic CLI SIEM (Security Information and Event Management system).

Log file navigator

Threat Detection & Anomaly Detection rules for popular open-source components

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

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

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

Wazuh - Amazon AWS Cloudformation

PCA and DBSCAN based anomaly and outlier detection method for time series data.

MemStream: Memory-Based Streaming Anomaly Detection

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

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

Octopussy - Open Source Log Management Solution

MySQL slow log analyzer. Alternative to pt-query-digest.

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

[ti]ny [li]ttle machine learning [tool]box - Machine learning, anomaly detection, one-class classification, and structured output prediction

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

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

Anomaly detection

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

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

Hastic data management server for analyzing patterns and anomalies from Grafana

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

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

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

Source code for Skip-GANomaly paper

Wazuh - Project documentation

Detect EEG artifacts, outliers, or anomalies using supervised machine learning.