MTSWebServices / RecTools
RecTools - library to build Recommendation Systems easier and faster than ever before
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Fully compatible with our fit / recommend paradigm and require NO special data processing
- Supports context-aware recommendations in case Relative Time Bias is enabled
- Supports all loss options, item embedding options, category features utilization and other common modular functionality of RecTools transformer models
- In HSTU tutorial we show that original metrics reported for HSTU on public Movielens datasets may actually be underestimated
- Configurable, customizable, callback-friendly, checkpoints-included, logs-out-of-the-box, custom-validation-ready, multi-gpu-compatible! See Transformers Advanced Training User Guide and Transformers Customization Guide
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 months ago
- Stars
- 460
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.19.0
- Released 5 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 56% closed
- 35 still open
- Pull requests
- 191 merged
- 14 waiting
- Releases
- 22
- 2 in the last year
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More: languages, topics and project record
Languages
- Python 100%
- Makefile <1%
- Dockerfile <1%
Topics
- deep-learning
- machine-learning
- personalization
- recomendations
- recommendation-system
- recsys
- recommendation-algorithms
- recommendation-engine
- recommender-system
Project record
- JobOther AI tools
- StatusListed
- Commits294
- Forks57
- Watching8
- Stars in 28 days+3
- CreatedJul 13, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026