Get anime recommendations 👾
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Updated
May 28, 2024 - Python
Get anime recommendations 👾
Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152, ICML'24).
A diverse collection of privacy, security, and FOSS resources in English and Arabic, encompassing tools, extensions, operating systems, encryption, and more. An invaluable repository for bolstering digital security and privacy.
WatchList is an app to track what movies and TV Shows you watch
Anime, Manga, & Novel Recommender Website and Application - User and Content-Based Recommendation using Anilist Account (Android and Web). Recommends Anime, Manga (Manhwa, Manhua, One Shots), Novel (LN - Light Novel, WN - Web Novel).
Movies catalogue service with built-in recommendation engine
Get curated show and movie recommendations.
A UI library for Algolia Recommend, available for Vanilla JavaScript and React.
This project extracts and cleans raw YouTube data from excel-csv (Kaggle) through SQL and identifies the top-performing UK-based YouTubers. Data Stack: Excel | Microsoft SQL Server | Power BI
A self-assessment tool by @NC3-LU to help business owners implement a better cybersecurity strategy.
Some recommendations regarding software for desktop and mobile 🔝
Neo4j Graph Example Movies Recommendation
Constructor.io JavaScript client for web applications
Resources recommended by members of our community. We welcome contributions, so feel free to send us pull requests adding things to the list! The resources in this list automatically get pushed to the http://progdisc.club/resources page.
Course on recommender systems conducted at the Faculty of Computer Science, National Research University - Higher School of Economics. Academic year 2022-2023.
A/B testing analysis and interpretation of data with graphical recommendations. Skills: A/B testing, Power Query, Pivot Table, Conditional Formatting, Data Validation, VLOOKUP, INDEX(MATCH)
Building movie recommendations using ML
RSVP Movies is an Indian film production company which has produced many super-hit movies. They have usually released movies for the Indian audience but for their next project, they are planning to release a movie for the global audience in 2023.
Example implementation of integration between Recombee, a content recommendation engine, and Kontent.ai.
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