Popular GitHub Repositories for Profiles

Stalk your Friends. Find their Instagram, FB and Twitter Profiles using Image Recognition and Reverse Image Search.

Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available at: https://www.nuget.org/profiles/Recognizers.Text, https://www.npmjs.com/~recognizers.text

Model Detects Fake Instagram Profiles using Deep Learning Approach of Artificial Neural Networks (ANN) for the fair use of social media

Source code of SIGIR2021 Paper 'One Chatbot Per Person: Creating Personalized Chatbots based on Implicit Profiles'

Deep learning methods for feature selection in gene expression autism data.

Recurrent Variational Auto gene encoder

[AAMAS 2025] CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems

Pre-training and Transfer learning papers for recommendation

Political parties emphasize different issues in their public communication efforts to address the topics of the day and to strengthen their policy profiles. Here, we develop and evaluate models to automatically classify parties' press releases into issue categories to dynamically measure issue attention.

Powered by Python, GPT, and LangChain, it delves into GitHub profiles ?, rates repos using diverse metrics ?, and unveils code intricacies. Perfect for developers, recruiters, and managers to explore the nuances of their codebase! ??

AI Reddit Profiler is a Python tool that uses AI to analyze Reddit user profiles. It extracts information like karma, subreddit activity, and post history to provide insights into a user's identity, behavior, and psychological profile. Perfect for researchers and analysts interested in social media behavior analysis.

Generative models for transcriptomics profiles and proteins

Opinion recommendation is a task, recently introduced, for consistently generating a text review and a rating score that a certain user would give to a certain product, which has never seen before. Input information driving recommendation is text reviews and ratings for this product contributed by other users and text reviews submitted by the user under consideration for other products. The aforementioned task faces the same problems emerging in text generation using neural networks, namely repetition and specificity. In this paper, it is experi- mentally demonstrated that by employing coverage loss during training, repetition is reduced without adding extra parameters. Furthermore, the amount of repetition in the generated text review is defined as a measure of the captured information. Such measure is used to improve rating score predic

LinkedIn company profiles finder using LangChain Agents

Chatzy is a real-time chat application built with the MERN stack, Socket.io, and Docker, featuring instant messaging, AI chatbot (Gemini API), OTP authentication, media sharing, and 30+ customizable themes. Users can search, filter online users, and update profiles, ensuring a seamless and interactive chat experience.

Portfolio of Mr. Sinre (Sobhan-SRZA) - Developer, content creator, and Discord bot enthusiast. Discover my biography, projects, and social profiles.

AI-powered web app that automatically generates resumes based on GitHub or LinkedIn profiles using LLM.

TaleTailor is an AI-powered story generation and storytelling platform that blends creative writing with social media. Users can generate emotionally-rich, genre-specific stories using advanced AI, collaborate with others in real time, and share their work in an interactive community with mood-based theming, likes, profiles, and discovery tools.

An intelligent learning assistant system providing personalized learning planning based on user profiles.

Save thousands of API calls. Custom model & dataset aiming at predicting a game difficulty score ("lobby avg kd") without calling players' games history stats and profiles.