master / tensorflow-riemopt
A library for optimization on Riemannian manifolds
Why this job: topics: neural-networks, tensorflow, machine-learning
What it does
The core package implements concepts in differential geometry, such as manifolds and Riemannian metrics with associated exponential and logarithmic maps, geodesics, retractions, and transports. For manifolds, where closed-form expressions are not available, the library provides numerical approximations.
Get started
pip install tensorflow-riemopt- Maintenance
- Active
- Last commit 2 days ago
- Stars
- 111
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.1.0
- Released 6 years ago
- Built with
- Python
- 90% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 10 merged
- 0 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 90%
- TeX 10%
Topics
- tensorflow
- optimization
- non-euclidean-geometry
- manifold
- neural-networks
- machine-learning
Project record
- JobAI libraries and models
- StatusListed
- Commits96
- Forks20
- Watching5
- Stars in 28 days0
- CreatedSep 23, 2020
- First seen by usNov 7, 2026
- CheckedNov 12, 2026