Popular GitHub Repositories for Morgan Fingerprints

Place recognition with WiFi fingerprints using Autoencoders and Neural Networks

Fingerprint-aware TLS reverse proxy: allow, deny, route, or deceive traffic using JA3, JA4 (+QUIC), JA4H, HTTP/2 fingerprints, and request metadata. Finch outsmarts bad traffic—blocking noise with high-fidelity fingerprints, tarpitting scanners, and dynamically deceiving attackers in real time.

A graph neural network for the prediction of bond dissociation energies for molecules of any charge.

Keras implementation of Neural Graph Fingerprints as proposed by Duvenaud et al., 2015

Contrastive pretraining to learn chemical reaction representations (RxnRep) for downstream tasks.

Exploring QSAR Models for Activity-Cliff Prediction

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

Project of drug interactions https://arxiv.org/pdf/2209.09941.pdf https://arxiv.org/pdf/2302.08680.pdf, NeurIPS 2022 (AI for Science)

Multi-Modal action recognition for skeleton sequences, inertial measurements, motion capturing data and Wi-Fi CSI fingerprints.

Uses a GAN to enhance images of Fingerprints

This repository contains an HR Policy Query Resolution system using Retrieval-Augmented Generation (RAG). It leverages a 4-bit quantized Mistral-7B-Instruct-v0.2 LLM and JP Morgan Chase’s publicly available Code of Conduct documents to generate accurate, contextually relevant responses for HR policy queries.

Neural Networks for predicting diabetes from Fingerprints.

MCP server for calculating biological age using the Morgan Levine PhenoAge clock

A backend service that integrates Node.js with OpenAI ChatGPT.

LIPS (Learning-based Indoor Positioning System) with Maps: research project to determine user's indoor position using Wi-Fi fingerprints

Library for generating audio fingerprints by using AcoustID's Chromaprint compiled to WASM

Automated fingerprint classification using the Socofing dataset, leveraging machine learning to categorize fingerprints into arches, loops, and whorls for enhanced biometric identification. Project covers data analysis, model development, and evaluation to improve security and authentication systems.