Letterboxd Recommendations
sdl60660
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
OPENAGENTSKILL / DIRECTORY
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Results: 27
sdl60660
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
robi56
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
RUCAIBox
A unified, comprehensive and efficient recommendation library
DeepRec-AI
DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.
xiangwang1223
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
OpenRaiser
📚 PaperFlow: Dynamic personalized scientific-paper recommendation, reading, and reporting
lyst
A Python implementation of LightFM, a hybrid recommendation algorithm.
anthropics
Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases…
anthropics
After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails,…
SeldonIO
Machine Learning Platform and Recommendation Engine built on Kubernetes
zubair-trabzada
AI crawler access analysis. Checks robots.txt, meta tags, and HTTP headers to determine which AI crawlers can access the site. Provides a complete access map and recomme…
dotnet
Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF…
foryourhealth111-pixel
Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratifie…
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