https://github.com/sberbank-ai-lab/RePlay

RecSys Library
https://github.com/sberbank-ai-lab/RePlay

machine-learning pyspark pytorch recommender-systems recsys

Last synced: 3 months ago
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RecSys Library

• Host: GitHub
• URL: https://github.com/sberbank-ai-lab/RePlay
• Owner: sberbank-ai-lab
• License: apache-2.0
• Archived: true
• Created: 2021-08-04T08:22:30.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-04-13T12:24:59.000Z (almost 3 years ago)
• Last Synced: 2024-08-08T23:21:04.800Z (7 months ago)
• Topics: machine-learning, pyspark, pytorch, recommender-systems, recsys
• Language: Python
• Homepage: https://sberbank-ai-lab.github.io/RePlay/
• Size: 12.7 MB
• Stars: 63
• Watchers: 5
• Forks: 6
• Open Issues: 21
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# RePlay

RePlay is a library providing tools for all stages of creating a recommendation system, from data preprocessing to model evaluation and comparison.

RePlay uses PySpark to handle big data.

You can

- Filter and split data

- Train models

- Optimize hyper parameters

- Evaluate predictions with metrics

- Combine predictions from different models

- Create a two-level model

## Docs

[Documentation](https://sberbank-ai-lab.github.io/RePlay/)

### Installation

Use Linux machine with Python 3.7+, Java 8+ and C++ compiler. 

```bash

pip install replay-rec

```

It is preferable to use a virtual environment for your installation.

If you encounter an error during RePlay installation, check the [troubleshooting](https://sberbank-ai-lab.github.io/RePlay/pages/installation.html#troubleshooting) guide.