Anime Recommender adaptation of the BERTRec project with a custom anime ratings dataset consisted of 54M ratings and 560000 users, a subset of the original dataset
This Django API provides user authentication, anime data management, and personalized recommendations.
Anime recommender system for Anilist user profiles and individual titles
A Hybrid Anime Recommender System using content-based and collaborative filtering, built with end-to-end MLOps practices. Integrates Comet-ML for experiment tracking, DVC for data/model versioning, Jenkins for CI/CD, and Kubernetes for scalable deployment.
Simple Anime Recommendation system based on user input of anime category. Used Anime Recommendations Database from Kaggle used as main dataset and built recommendation system using Scikit-learn.
Production-grade AI anime recommender | RAG pipeline with ChromaDB + Groq (Llama 3.1) + LangChain | Dockerized, deployed on GCP with Kubernetes, monitored via Grafana Cloud
A modern anime recommendation website and engine built with React and Django REST API. Featuring over 17000 anime titles and tailored suggestions
Add a description, image, and links to the anime-recommender topic page so that developers can more easily learn about it.
To associate your repository with the anime-recommender topic, visit your repo's landing page and select "manage topics."