Projects in Awesome Lists by NVIDIA-Merlin
A curated list of projects in awesome lists by NVIDIA-Merlin .
https://github.com/nvidia-merlin/transformers4rec
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
bert gtp huggingface language-model nlp pytorch recommender-system recsys seq2seq session-based-recommendation tabular-data transformer xlnet
Last synced: 14 May 2025
https://github.com/NVIDIA-Merlin/Transformers4Rec
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
bert gtp huggingface language-model nlp pytorch recommender-system recsys seq2seq session-based-recommendation tabular-data transformer xlnet
Last synced: 05 Apr 2025
https://github.com/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.
deep-learning feature-engineering feature-selection gpu machine-learning nvidia preprocessing recommendation-system recommender-system
Last synced: 14 May 2025
https://github.com/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.
deep-learning feature-engineering feature-selection gpu machine-learning nvidia preprocessing recommendation-system recommender-system
Last synced: 01 May 2025
https://github.com/NVIDIA-Merlin/HugeCTR
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
cpp deep-learning gpu-acceleration recommendation-system recommender-system
Last synced: 20 Jul 2025
https://github.com/nvidia-merlin/hugectr
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
cpp deep-learning gpu-acceleration recommendation-system recommender-system
Last synced: 14 May 2025
https://github.com/nvidia-merlin/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 production.
deep-learning end-to-end gpu-acceleration machine-learning recommendation-system recommender-system
Last synced: 13 Apr 2025
https://github.com/NVIDIA-Merlin/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 production.
deep-learning end-to-end gpu-acceleration machine-learning recommendation-system recommender-system
Last synced: 30 Jul 2025
https://github.com/nvidia-merlin/dataloader
The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX
deep-learning jax pytorch recommender-systems tensorflow
Last synced: 16 May 2025
https://github.com/nvidia-merlin/models
Merlin Models is a collection of deep learning recommender system model reference implementations
dask deep-learning gpu machine-learning pytorch rapidsai recommendation-system recommender-system recsys tensorflow
Last synced: 12 Apr 2025
https://github.com/nvidia-merlin/competitions
Solutions to Recommender Systems competitions
Last synced: 10 Sep 2025
https://github.com/NVIDIA-Merlin/competitions
Solutions to Recommender Systems competitions
Last synced: 20 Jul 2025
https://github.com/nvidia-merlin/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 high-bandwidth memory (HBM) of GPUs and in host memory. It also can be used as a generic key-value storage.
cuda dynamic-embedding embedding-storage gpu hashtable key-value-store recommender-system
Last synced: 10 Apr 2025
https://github.com/nvidia-merlin/systems
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.
deep-learning ensemble gpu machine-learning python recommendation-system recommender-system tensorflow
Last synced: 09 Apr 2025
https://github.com/nvidia-merlin/distributed-embeddings
distributed-embeddings is a library for building large embedding based models in Tensorflow 2.
Last synced: 23 Apr 2025
https://github.com/nvidia-merlin/gcp-ml-ops
MLOps pipeline for NVIDIA Merlin on GKE
Last synced: 23 Apr 2025
https://github.com/nvidia-merlin/nvtabular_triton_backend
Triton Backend for NVTabular
Last synced: 23 Apr 2025