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NVIDIA-Merlin · GitHub
NVIDIA-Merlin
Merlin is a framework providing end-to-end GPU-accelerated recommender systems, from feature engineering to deep learning training and deploying to production
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Repositories
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Transformers4Rec
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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
HierarchicalKV
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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
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191
Apache-2.0
33
14
6
Updated Nov 2, 2025
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
HugeCTR
Public
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
NVIDIA-Merlin/HugeCTR’s past year of commit activity
NVIDIA-Merlin/publications’s past year of commit activity
Jupyter Notebook
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Updated Jun 3, 2025
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1
Updated Feb 10, 2025
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
NVIDIA-Merlin/nvtabular_triton_backend’s past year of commit activity
C++
3
Apache-2.0
4
10
0
Updated Aug 9, 2024
core
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Core Utilities for NVIDIA Merlin
NVIDIA-Merlin/core’s past year of commit activity
Python
19
Apache-2.0
15
20
9
Updated Jul 26, 2024
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
Python
94
Apache-2.0
31
31
6
Updated Jun 11, 2024
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