Eloquent Befriended brings social media-like features like following, blocking and filtering content based on following or blocked models.
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Updated
Dec 21, 2023 - PHP
Eloquent Befriended brings social media-like features like following, blocking and filtering content based on following or blocked models.
building a recommendation system using graph search methodologies. We will be comparing these different approaches and closely observe the limitations of each.
多合一通杀内容拦截器规则 CN&全球
Caffe Squeezenet model for binary classification of pornographic/non-pornographic material
Citadel Core platform-specific implementation for Windows
Cross platform filtering HTTP/S proxy based on .NET Standard 2.0.
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Jave Web请求内容过滤替换组件. Jave Web content filtering request replacement component
A gui that allows you to bypass content filtering in ChatGPT through the OpenAI autocompletion API for DaVinci-003
Movie Website built on python Django framework; Uses Content Based Predictive Model approach to predict similar movies based on the contents/genres similarities
NxFilter docker container
DistillNET is a library for matching and filtering HTTP requests and HTML response content using the Adblock Plus Filter format.
Laptop recommender machine learning project using advanced content filtering and cosine similarity techniques, our system matches your preferences to the perfect laptop, providing you with accurate and personalized suggestions.
NxFilter install on pfSense
Intercept AI - Empowering safe and secure online experiences through cutting-edge content filtering technology.
End-to-end implementation of Spam Detection in Email using Machine Learning, Python, Flask, Gunicorn, Scikit-Learn, and Logistic Regression on the Heroku cloud application platform.
Worker "clients" for analyzing media content. Pamaxie is a Natural Learning API for accessing several Neural Networks and hand-crafted algorithms for moderating content on platforms.
A simple movie recommender system in R
Recommender System is a system that seeks to predict or filter preferences according to the user's choices. Recommender systems are utilized in a variety of areas including movies, music, news, books, research articles, search queries, social tags, and products in general.
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