EasyRec
Recommender system framework
A framework for building and deploying scalable recommendation algorithms
A framework for large scale recommendation algorithms.
2k stars
51 watching
334 forks
Language: Python
last commit: 2 months ago
Linked from 1 awesome list
autointautomlcapsule-networkctr-predictiondeepfmdeepmatchingdindlrmdssmegesesmmmindmulti-task-learningonline-learningpdnrecommendation-algorithmsrecommender-systemtransformers-modelswide-and-deep
Related projects:
Repository | Description | Stars |
---|---|---|
| A tool for building and comparing multimodal recommender systems using various machine learning algorithms. | 897 |
| An evaluation framework and repository of deep learning algorithms for recommendation systems | 985 |
| A Python framework for building recommendation systems using TensorFlow. | 1,277 |
| A framework for building and evaluating recommender systems using reinforcement learning | 51 |
| A comprehensive library of algorithms and techniques for building recommender systems | 1,102 |
| A software framework for building recommender systems using machine learning and deep learning techniques. | 1,869 |
| A deep learning-based recommendation system framework for Ruby | 36 |
| A C-based system for predicting product recommendations using collaborative filtering algorithms | 266 |
| A collection of real-world datasets and practical reinforcement learning baselines for recommendation systems. | 220 |
| An academic project providing a framework for building and evaluating recommender systems in MATLAB. | 47 |
| A library for building and using collaborative filtering-based recommender systems | 1,477 |
| A repository of public data sources for Recommender Systems. | 887 |
| A collaborative filtering algorithm for building personalized recommendation systems | 46 |
| An implementation of a deep learning-based framework for making recommendations using neural networks and matrix factorization. | 486 |
| A Python implementation of a factorization machine algorithm for recommendation systems. | 923 |