Bouwles / DriftSync
A real-time machine learning system that predicts when a user is likely to make a mistake before it occurs.
Why this job: works in the areas we cover, but does not say which job it does
What it does
DriftSync is an end-to-end machine learning system that predicts when a person is likely to make a mistake before the mistake happens. It watches behavioral signals from a sustained-attention task, turns them into temporal feature windows, and estimates the probability of an error in the next few trials.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 52 days ago
- Stars
- 120
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- Windows
- From the latest release
- Latest version
- v2.2.0
- Released 53 days ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- None
- No issues filed
- Pull requests
- 0 merged
- 0 waiting
- Releases
- 4
- 4 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: download files, languages, topics and project record
Languages
- Python 100%
- Makefile <1%
Topics
- data-science
- human-computer-interaction
- machine-learning
- predictive-modeling
- pygame
- python
- pytorch
- real-time
- scikit-learn
- uncertainty-estimation
Project record
- JobOther AI tools
- StatusListed
- Commits65
- Forks2
- Watching0
- Stars in 28 days0
- CreatedMar 3, 2026
- First seen by usNov 7, 2026
- CheckedNov 8, 2026