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.
A comprehensive Python tool to remove AI-generated fingerprints, watermarks, and metadata from audio files.
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
A collection of digital forensics tools for verification, investigations, diagnostics, software, libraries, learning tutorials, frameworks, academic and practical resources in Cybersecurity
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.
A pure-Rust cheminformatics library targeting RDKit feature parity — zero C/C++ by default.
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 sample web site demonstrating typical DigitalPersona Web Access Management API use cases
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.
A list of JARM fingerprints from malicious IPs, matched against known C2 fingerprints.
Datasets used in the tox21 challenge
Suno fingerprint remover
Code supporting "A novel multi-method framework for global real-time climate attribution" by Gilford et al. (2022, ASCMO)
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