A privacy-first app that strips AI watermarks from content you own.
📸 A well documented, high-level Android interface that makes capturing pictures and videos easy, addressing all of the common issues and needs. Real-time filters, gestures, watermarks, frame processing, RAW, output of any size.
Remove watermarks from multiple images 🌅 !
Databricks Real-Time Fintech Monitoring Pipeline: Hands-on lab to build a streaming fraud detection system using Auto Loader, watermarked deduplication, stream-static joins, and windowed rules engines in Databricks. Covers dual-SLA architecture for real-time alerts and batch compliance reporting.
📈️📷️🌐️💾️ iStonk is tool that does a reverse image search on uploaded image/video files, and shows you results for a version without a watermark/other addon.
User friendly frontend for https://github.com/guillaumemeyer/watermarks-remover
A simple Android app for adding a watermark to photos. Add watermarks quickly and customize them easily!
flutter package for applying a watermark to the image
Deterministic, epubcheck-gated EPUB repair with atomic Calibre library replacement, content auditing, and a Calibre import plugin.
📈️📷️🌐️📖️ The official documentation repository for the iStonk project.
Legacy Python tool for cleaning PDF metadata, annotations, watermarks, and document organization.
Strip multi-vendor AI provenance marks: Unicode text hygiene, statistical rewrite hooks, and C2PA/metadata from PNG/JPEG/SVG/PDF/DOCX/HTML/MD
Deterministic .NET 10 stream-processing simulator exploring event time, watermarks, late events, and correctness-latency-memory trade-offs with SVG timelines.
Local-first toolkit for inspecting and cleaning AI-era provenance marks from text, images, and documents.
This Comprehensive ETL project is designed for efficient data migration and replication between oracles databases with change data capture (CDC), this project enables near real-time data sync while maintaining data integrity and relationship consistency.
Interactive F# lab for watermark lag, late events, idle partitions, incomplete windows, and delayed alerts.
Real-time anomaly detection on payment streams with PyFlink: event-time windows, keyed state, watermarks
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