NSFW detection on the client-side via TensorFlow.js

Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

Keras model of NSFW detector

A NSFW (aka porn) detector with CoreML

Pre-built, deduplicated Pi-hole blocklists merged from 35 curated sources — a 2.4M+ domain master list plus advertising, tracking, malware/phishing, suspicious, and NSFW categories. Hosts format, rebuilt weekly.

The World's First Realtime onDevice AI Project to maintian Modestey and Religious values. Everyday AI companion designed for Muslim community to empower them maintain modesty, decency in the digital realm by blurring and covering Non-Mahram and Haram objects (NSFW), directly on screen on anywhere(offline,online,browser,videoplayer) in anytime.

A real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned

2026 MT5 Gateway: Institutional Trend Classifier & Multi-Asset Regime Dashboard

Ultra-lightweight (600KB) Face Anti-Spoofing classifier. Optimized MiniFASNetV2-SE implementation validated on 70k+ samples with ~98% accuracy for edge devices.

A flexible, adaptive classification system for dynamic text classification

collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc