Merlin
Recommender system library
An end-to-end GPU-accelerated recommender system library providing tools for feature engineering, training, and inference.
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.
787 stars
34 watching
118 forks
Language: Python
last commit: almost 2 years agoLinked from 1 awesome list
deep-learningend-to-endgpu-accelerationmachine-learningrecommendation-systemrecommender-system
ethicalml/awesome-production-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
| nvidia-merlin/nvtabular | A library that provides a high-level abstraction for feature engineering and preprocessing of tabular data to accelerate deep learning recommender systems on GPUs. | 1,057 |
 preferredai/cornac | A tool for building and comparing multimodal recommender systems using various machine learning algorithms. | 897 |
 deepgraphlearning/recommendersystems | A comprehensive library of algorithms and techniques for building recommender systems | 1,102 |
 tensorflow/recommenders | A software framework for building recommender systems using machine learning and deep learning techniques. | 1,869 |
 mauriziofd/recsys2019_deeplearning_evaluation | An evaluation framework and repository of deep learning algorithms for recommendation systems | 985 |
 deeplearningbrasil/mars-gym | A framework for building and evaluating recommender systems using reinforcement learning | 51 |
 alibaba/easyrec | A framework for building and deploying scalable recommendation algorithms | 1,814 |
 astrazeneca/rexmex | A library providing a comprehensive set of metrics and tools for evaluating recommender systems | 278 |
 fuxiailab/rl4rs | A collection of real-world datasets and practical reinforcement learning baselines for recommendation systems. | 220 |
 ankane/torchrec-ruby | A deep learning-based recommendation system framework for Ruby | 36 |
 nvidia/sentiment-discovery | Large-scale unsupervised language modeling for robust sentiment classification and related NLP tasks | 1,061 |
 yihong-chen/neural-collaborative-filtering | An implementation of a deep learning-based framework for making recommendations using neural networks and matrix factorization. | 486 |
 ghamrouni/recommender | A C-based system for predicting product recommendations using collaborative filtering algorithms | 266 |
 jfkirk/tensorrec | A Python framework for building recommendation systems using TensorFlow. | 1,277 |
 ocelma/python-recsys | A library for building and using collaborative filtering-based recommender systems | 1,477 |