AI Agent Skills

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username

AI on the way. An auto deep learning pipe dream. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy, all that good stuff.

Classic papers and resources on recommendation

A unified, comprehensive and efficient recommendation library

DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.

Best Practices on Recommendation Systems

PipesHub is a fully extensible and explainable workplace AI platform for enterprise search and workflow automation

A Python implementation of LightFM, a hybrid recommendation algorithm.

Glamorous Toolkit is the Moldable Development Environment. It empowers you to make systems explainable through contextual micro tools.

Semantica 🧠 — AI-native knowledge graph intelligence framework for semantic retrieval, ontology reasoning, context graphs, and explainable AI systems.

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…

Draft, audit, or revise Nature-style revision correspondence packages: point-by-point reviewer-separated response letters, rebuttal letters, revision cover lett

Machine Learning Platform and Recommendation Engine built on Kubernetes

Audit concentration, factor exposure, correlation, liquidity, and stress-test risks in an existing portfolio.