A basic word-embedding model to find best matching students or professors, and recommend the top n results to a specific student
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Updated
May 12, 2024 - Jupyter Notebook
A basic word-embedding model to find best matching students or professors, and recommend the top n results to a specific student
Movie Recommendation System Project using ML in R
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Collection of notes on things I find interesting
This repository contains the source code and documentation for a Bachelor's thesis project that explores two different approaches to developing a movie recommendation system.
AI比赛经验帖子 & 训练和测试技巧帖子 集锦(收集整理各种人工智能比赛经验帖)
Court Judgement Prediction & Recommendation
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Nextjs UI for music recom System based on Spotify dataset
ACM RecSys 24, SIGCHI - recurrent neural network based recommender systems
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Trill - a web app for finding music
The implementation and comparison of recommender algorithms
Radient turns many data types - not just text - into vectors for similarity search.
Pytorch domain library for recommendation systems
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Large Language Model-enhanced Recommender System Papers
An anime recommender system based off of MyAnimeList user reviews
End-to-end product that scrapes recent academic publications and prepares a feed of recommended readings for you.
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