GPflow / GPflow
Gaussian processes in TensorFlow
Why this job: matched by what the repo talks about: gaussian, tensorflow
What it does
GPflow is a package for building Gaussian process models in Python. It implements modern Gaussian process inference for composable kernels and likelihoods.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 28 days ago
- Stars
- 1,922
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.11.2
- Released 29 days ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 83% closed
- 139 still open
- Pull requests
- 1,077 merged
- 33 waiting
- Releases
- 55
- 4 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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| QuantClimate / GPJax | 672 | 2 days ago | MIT | No downloads |
More: languages, topics and project record
Languages
- Python 100%
- Makefile <1%
Topics
- gaussian-processes
- tensorflow
- gpflow
- machine-learning
- variational-inference
- bayesian-statistics
- markov-chain-monte-carlo
- stochastic-processes
- deep-learning
- ml
- gp
Project record
- Job3D and Blender
- StatusListed
- Commits2,467
- Forks437
- Watching69
- Stars in 28 days+2
- CreatedJan 14, 2016
- First seen by usNov 7, 2026
- CheckedNov 8, 2026