👕 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
Policy recommendation using Two Tower Neural Network and Configurable business heuristics for SBI Hackathon (Rank 3).
Policy recommendation system inspired by YouTube's algorithm, using Two-Tower Neural Networks and heuristics, developed for the SBI Life Hackathon'25
Two-Tower RecSys + FAISS retrieval + cold-start demo (Amazon Video Games 2023)
Movie recommendation app that utilizes machine-learning to recommend new movies.
Repository for Computer Science Master Thesis
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 decoupled Two-Tower and SASRec architecture that isolates user data from item embeddings to enable "Right to be Forgotten" compliance via exact retraining.
Document search and retrieval with deep learning (part of ML institute programme)
Two-Tower ESMM DNN Implementation for Ranking in Hotels Search
A two tower model and datasets generator for scholarship.id recommendation system
A content recommendation engine using two-tower neural networks, reactive Java, and event-driven architecture.
Tower-two and NeuralUCB hybrid to generate repository recomendations
Add a description, image, and links to the two-tower-neural-networks topic page so that developers can more easily learn about it.
To associate your repository with the two-tower-neural-networks topic, visit your repo's landing page and select "manage topics."