Popular GitHub Repositories for Recommend Subreddits

Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch Version (https://github.com/AlfredXiangWu/LightCNN)

Paper List for Recommend-system PreTrained Models

Sales AI agent that talks with your customers, recommend products, book consultations, and process Stripe payments

An Awesome Collection for Sequential Recommendation and Sequence Modeling in Recommend System

Predict and recommend the news articles, user is most likely to click in real time.

Use OpenAI, Redis, and streamlit to recommend hotels using Large Language Models

Recommender Systems are the systems designed to that are designed to recommend things to the user based on many different factors. These systems predict the most likely product that the users are most likely to purchase and are of interest to. Recommendations typically speed up searches and make it easier for users to access content they’re interested in, and surprise them with offers they would have never searched for. In this project work, we explore the use of Reinforcement Learning based techniques to solve the problem of Movie Recommendation. We have implemented the following strategies: Multi Armed Bandits based recommender and an Actor-Critic based recommender framework using Deep Reinforcement Learning.

A project using machine learning to recommend new menu items based on foods the user already loves.

Welcome to the repository showcasing examples utilizing OpenAI tools, such as GPT, assistant API (retrieval, function calling to external API). I strongly recommend running through the provided sample code and viewing the referenced instructional videos for a comprehensive understanding.

Recommendation engine in Java. Based on an ALS algorithm (Apache Spark). Train a new model after N seconds.

Mastra AI Agent - workflows to fetch and process subreddits.

Stress, anxiety, and depression are threatening the mental health of people. People often share their feelings on social media platforms like on Instagram in the form of posts and stories, and on Reddit in the form of asking for suggestions about their life on subreddits. So, here is my project to detect stress using people's messages as dataset.

Recommends you Subreddits based on Word2Vec neural net!

AIPLA an Artificial Intelligent powered Library Assistant is a Messenger chat-bot using NLP and DL to find, search and recommend books for various users, based on their taste of novels and past searches.

This is a project aiming to recommend a Tech-gadgets to a user using Machine Learning.

This LLM based reddit bot uses OpenAI API to scrap comments from given subreddits posts links and allow the admin to have a QnA session in the context of whole comments of that specific post. Build in python using pineconeDB and docker.

Legal Up recommends suitable lawyers⚖️ to clients based on concise case descriptions? using advanced algorithms, ensuring clients find the right legal expertise. ?

The Medical Chatbot is an AI-powered platform designed to assist users in obtaining accurate and reliable medical information. It aims to provide instant responses to user queries, offer symptom analysis, suggest potential diagnoses, and recommend appropriate next steps for seeking medical care.

AI Odyssey Planner is an intelligent travel planning application that uses AI to create personalized travel itineraries. The platform analyzes millions of data points to recommend destinations, activities, and accommodations based on user preferences, budget constraints, and schedule.

This repository contains an application designed to recommend scientific papers that are most similar to a given input paragraph. The application uses the llama and weaviate libraries to achieve this.