NudeNet: NSFW Object Detection for TFJS and NodeJS
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Updated
Sep 25, 2023 - JavaScript
NudeNet: NSFW Object Detection for TFJS and NodeJS
Collection of Matlab functions for denoising fMRI data
A lightweight and easy-to-use tool that allows you to detect and filter out profanity words from your text-based content. Whether you're building a social media platform, a chat app, or just want to keep your comments section clean, this package can help.
PDF-Zensor can be used to censor PDF-files. As such it strips annotations and metadata as well as textual and graphical content from the PDF-file. It can also partially censor PDF-files and highlight certain text phrases.
Primary event censored distributions.
A feature-rich and expertly crafted Discord censoring bot that provides dual-mode content filtering via term-based pattern matching and regular expressions, customizable blacklists and whitelists, global and blacklist-level exceptions, customizable DM messaging, and a time- and occurrence-based punishment system.
A fast, interactive CLI for finding and redacting secrets in your codebase.
Visual masking of sensitive data in Burp Suite for safe screen sharing and screenshots
FacePixel: Automatic Face Censoring for Videos
CensorCore is a lightweight JavaScript library that detects explicit or inappropriate text using a centralized, curated wordlist. It integrates with a single script tag and one function call, allowing developers to easily screen user‑generated content in chats, forms, and comment systems.
🔒 A real-time screen monitoring and sensitive information censoring tool for live coding streams | 直播编程时自动检测并模糊化敏感信息的工具
Likelihood model for series systems with masked component cause of failure and other censoring mechanisms
A dynamic, simple censoring extension for the Firefox Browser.
Survival Oncology - Time-to-event modelling done properly: Kaplan-Meier, Cox proportional hazards, concordance, IPCW Brier score and calibration
Fit flexible conditional distributions to continuous, censored, or covariate-dependent data using monotone Bernstein polynomial transformations.
Reference implementation of a conditional-likelihood rectangular-sieve estimator for bivariate union-selected data with truncation and one-sided censoring.
To associate your repository with the censoring topic, visit your repo's landing page and select "manage topics."