NVIDIA-Merlin
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Transformers4Rec
Transformers4Rec PublicTransformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
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dataloader
dataloader PublicThe merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX
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NVIDIA-Merlin/publications’s past year of commit activity - NVTabular Public
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.
NVIDIA-Merlin/NVTabular’s past year of commit activity - HierarchicalKV Public
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 high-bandwidth memory (HBM) of GPUs and in host memory. It also can be used as a generic key-value storage.
NVIDIA-Merlin/HierarchicalKV’s past year of commit activity - Transformers4Rec Public
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
NVIDIA-Merlin/Transformers4Rec’s past year of commit activity - Merlin Public
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 production.
NVIDIA-Merlin/Merlin’s past year of commit activity - systems Public
Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature stores, nearest neighbor search, and exploration strategies) into end-to-end recommendation pipelines that can be served with Triton Inference Server.
NVIDIA-Merlin/systems’s past year of commit activity
