Platform-agnostic quantification of technical noise in single-cell RNA-seq. Supports ONT, PacBio/Kinnex, and short-read 10x / BD Rhapsody / Smart-seq BAMs
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Updated
Jun 2, 2026 - Python
Platform-agnostic quantification of technical noise in single-cell RNA-seq. Supports ONT, PacBio/Kinnex, and short-read 10x / BD Rhapsody / Smart-seq BAMs
Source code for paper: https://arxiv.org/pdf/2305.17370.pdf
This repository contains code for paper: "Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images."
InSwapper Detector is a production-focused deepfake detection system designed to identify faces manipulated with INSwapper. It combines face detection, RGB image analysis, frequency artifact extraction, and a multi-task ConvNeXt-Tiny model for image, batch, and video-based detection.
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