tensorflow / probability
Probabilistic reasoning and statistical analysis in TensorFlow
Why this job: topics: neural-networks, tensorflow, deep-learning, machine-learning
What it does
TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of probabilistic methods with deep networks, gradient-based inference via automatic differentiation, and scalability to large datasets and models via hardware acceleration (e.g., GPUs) and distributed computation.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 3 days ago
- Stars
- 4,445
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.25.0
- Released 2 years ago
- Built with
- Jupyter Notebook
- 75% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 54% closed
- 651 still open
- Pull requests
- 276 merged
- 86 waiting
- Releases
- 52
- 0 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Jupyter Notebook 75%
- Python 24%
- Starlark 1%
- Shell <1%
Topics
- tensorflow
- bayesian-methods
- deep-learning
- machine-learning
- data-science
- neural-networks
- statistics
- probabilistic-programming
Project record
- JobAI libraries and models
- StatusListed
- Commits12,292
- Forks1,133
- Watching147
- Stars in 28 days+11
- CreatedOct 23, 2017
- First seen by usNov 7, 2026
- CheckedNov 10, 2026