👕 Open-source course on architecting, building and deploying a real-time personalized recommender for H&M fashion articles.
Correcting the LogQ Correction: Revisiting Sampled Softmax for Large-Scale Retrieval (RecSys'25)
A Movie Recommender System using YouTube's Two-Tower Architecture built with TFRS+TFR and served with FastAPI
This repo is made for Football analytics and is based on FIFA 24 data
Policy recommendation using Two Tower Neural Network and Configurable business heuristics for SBI Hackathon (Rank 3).
Two-Tower ESMM DNN Implementation for Ranking in Hotels Search
Two-Tower RecSys + FAISS retrieval + cold-start demo (Amazon Video Games 2023)
Repository for Computer Science Master Thesis
Movie recommendation app that utilizes machine-learning to recommend new movies.
Policy recommendation system inspired by YouTube's algorithm, using Two-Tower Neural Networks and heuristics, developed for the SBI Life Hackathon'25
A content recommendation engine using two-tower neural networks, reactive Java, and event-driven architecture.
Sistema experimental para recolectar datos públicos de Sputnik y generar recomendaciones de discos // Experimental system for collecting public data from Sputnik and generating release recommendations
A two tower model and datasets generator for scholarship.id recommendation system
Document search and retrieval with deep learning (part of ML institute programme)
A Two-Tower item model with frozen embeddings feeding a local SASRec Transformer, allowing a user to be unlearned by discarding only their adapter parameters.
Tower-two and NeuralUCB hybrid to generate repository recomendations
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