resources of FAST-NUCES 2020-2024
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Updated
Jun 2, 2024 - HTML
resources of FAST-NUCES 2020-2024
📽️ Intuitive Movie Recommendations for You! 🍿
NCF Paper Implementation (Pytorch)
KwaiRec: A Fully-observed Dataset for Recommender Systems.
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
This is a Recommender System built to suggest movies with content based and collaborative filtering with help of machine learning.
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.
ColdRec: A Comprehensive Open-Source Toolkit for Cold-Start Recommendation.
Versatile End-to-End Recommender System
Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.
LastFM recommendation with sentiment analysis (Bachelor Thesis Project)
Repository of recommender systems data and model information
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
The purpose of this project is to develop a recommender system based on content-based filtering in the Python programming language.
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Pytorch domain library for recommendation systems
A recommender system for GitHub repositories based on Gorse
Gorse open source recommender system engine
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