NVIDIA-Merlin
NVIDIA-Merlin
NVTabular
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
Merlin
NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in p...
HugeCTR
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
Transformers4Rec
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
models
Merlin Models is a collection of deep learning recommender system model reference implementations
dataloader
The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX
distributed-embeddings
distributed-embeddings is a library for building large embedding based models in Tensorflow 2.
HierarchicalKV
HierarchicalKV is a part of NVIDIA Merlin and provides hierarchical key-value storage to meet RecSys requirements. The key capability of HierarchicalKV is to store key-value feature-embeddings on hig...