Open source audio fingerprinting in .NET. An efficient algorithm for acoustic fingerprinting written purely in C#.

A Collection of 10.000 collected Windows Chrome Fingerprints. Usable with an easy-to-use API, available as a compressed (lzma) or full-size Json (view Releases). Its just 1.4mb in size in compressed form, and fast in read times.

An overpowered JavaScript browser fingerprinting library for creating persistent, unique and long-lasting digital fingerprints.

vips-powered ruby gem to measure images similarity, implementing dHash and IDHash algorithms

DigitalPersona Security Devices support library

Create and search very large datasets (> 7 million) of audio music fingerprints (also called Acoustic Fingerprinting), using two different algorithmes.

a Shazam-like audio recognition algorithm; build your customized music database

Purely passive OS and application fingerprinting system

This is a collection of 10 000 unique digital fingerprints created based on the algorithm for generating basic rings using a noise texture. Like human fingerprints, you can now use them for the Web3 and Metaverse era as digital biometric information on The Open Network.

A collection of digital forensics tools for verification, investigations, diagnostics, software, libraries, learning tutorials, frameworks, academic and practical resources in Cybersecurity

A sample web site demonstrating typical DigitalPersona Web Access Management API use cases

This pipeline provides a way to perform pharmaceutical compounds virtual screening using similarity-based analysis, ligand-based and structure-based techniques. The pipeline contains a collections of modules to perform a variety of analysis.

Extract Molecular SMILES embeddings from language models pre-trained with various objectives architectures.

A collection of Python scripts that I used while working with NBIS to carry out some of the bulk work.

Datasets used in the tox21 challenge

A Shazam-like application

A list of JARM fingerprints from malicious IPs, matched against known C2 fingerprints.

Code supporting "A novel multi-method framework for global real-time climate attribution" by Gilford et al. (2022, ASCMO)

ETL in FFA between ZKTeco fingerprints database and Marketflow/Bankflow core banking system