yzhao062 / pytod
TOD: GPU-accelerated Outlier Detection via Tensor Operations
Why this job: works in the areas we cover, but does not say which job it does
What it does
We propose TOD, a system for efficient and scalable outlier detection (OD) on distributed multi-GPU machines. A key idea behind TOD is *decomposing OD applications into basic tensor algebra operations for GPU acceleration*.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 188
- +1 this week
- Licence
- BSD-2-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.0.2
- Released 4 years ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 11% closed
- 8 still open
- Pull requests
- 1 merged
- 1 waiting
- Releases
- 1
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- anomaly-detection
- gpu-acceleration
- gpu-systems
- machine-learning
- outlier-detection
- unsupervised-learning
Project record
- JobOther AI tools
- StatusListed
- Commits42
- Forks27
- Watching7
- Stars in 28 days+1
- CreatedOct 26, 2021
- First seen by usNov 7, 2026
- CheckedNov 8, 2026