239 Open source projects that are alternatives of or similar to benfordslaw

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

📈📄👀A lookup repo for a variety of discrete and continuous distributions (incl. Beta, Binomial, Cauchy, Chi-squared, Geometric, Hypergeometric, Normal & Poisson)

MemStream: Memory-Based Streaming Anomaly Detection

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…

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

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

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

DEPRECATED - Trim the fat from the default Raspbian image.

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

Demo to show keystroke dynamics / keystroke biometrics

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

The Combined Anomalous Object Segmentation (CAOS) Benchmark

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

CalinixOS Linux Distribution ISO Profiles

Wrap your application in a BEAM Burrito!

📝 A headless, multitenant dynamic content platform powered by Rails, GraphQL and Elasticsearch

anomaly detection with anomalize and Google Trends data

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

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

Package your python code into a executable zip file (with the requirements). For Python3.6+

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

A bower build for FineUploader/fine-uploader

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

Interactive Visualization to Build, Train and Test an Autoencoder with Tensorflow.js

Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)

Use AutoAI to detect fraud

A Drupal-based platform for professional publishers

anomaly detection by one-class SVM

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

missCompare R package - intuitive missing data imputation framework

Siddhi streaming runtime and tooling distribution

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

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

CelOS is a simple, easy-to-use, flatpak centric Linux distribution for everyone based on Ubuntu 20.04.

Insurance fraud claims analysis project

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

Mean-Shifted Contrastive Loss for Anomaly Detection

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.

Tezos Reward Distributor (TRD): A reward distribution software for tezos bakers.

基于智能计算框架nupic的异常检测restful Api.

https://events.kaspersky.com/hackathon/

Sherlock is an anomaly detection service built on top of Druid

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

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

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

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

A simple Python wheel builder for simple projects.

Faster, better, smarter ecological niche modeling and species distribution modeling

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

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

Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

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

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"Very simple but works well" Computer Vision based ID verification solution provided by LibraX.

台灣社群非官方客製版 Ubuntu 作業系統

Statistics

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

Resources for working with time series and sequence data

⭐ An anomaly-based intrusion detection system.

A distributed peer to peer list of bad actor IP addresses and phone numbers collected via a SIP Honeypot.