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.
773 stars
34 watching
118 forks
Language: Python
last commit: 4 months ago
Linked from 1 awesome list
deep-learningend-to-endgpu-accelerationmachine-learningrecommendation-systemrecommender-system
Related 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. | 1,049 |
preferredai/cornac | A tool for building and comparing multimodal recommender systems using various machine learning algorithms. | 884 |
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. | 1,849 |
mauriziofd/recsys2019_deeplearning_evaluation | An evaluation framework and repository of deep learning algorithms for recommendation systems | 983 |
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 | 1,784 |
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 | 34 |
nvidia/sentiment-discovery | Large-scale unsupervised language modeling for robust sentiment classification and related NLP tasks | 1,062 |
yihong-chen/neural-collaborative-filtering | An implementation of a deep learning-based framework for making recommendations using neural networks and matrix factorization. | 480 |
ghamrouni/recommender | A C-based system for predicting product recommendations using collaborative filtering algorithms | 264 |
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 | 1,475 |