A framework for large scale recommendation algorithms.

An easy-to-use framework for large scale recommendation algorithms.

A memory efficient DLRM training solution using ColossalAI

Three examples of recommendation system pipelines with NVIDIA Merlin and Redis

AML's goal is to make benchmarking of various AI architectures on Ampere CPUs a pleasurable experience :)

Implementation of recommender ( Pytorch & Keras )

Invariant Bit Packing compression as published in EuroSys 2026

Deploying a Multimodal Recommender System on Kubernetes featuring Cold Start handling, Bloom Filters, and Feature Caching.

Two Tower Recommender System for Teamu

Trying to shard big embedding tables in multiple devices paying attention to the communication aspects of parallel inference

An implementation of a deep learning recommendation model (DLRM) focusing on of interactions, of features (sparse and dense).

Movie recommendation API — DLRM neural network + real-time TMDB data. Powers CinemaScopeAI.

Repository for Showcasing DLRM v2 Functionality on AMD

repo for practicing DL/genAI

Semantic priors for sparse long-tail recommendation with DLRM-style ranking and multi-positive evaluation.