uncertainty-baselines
by google · GitHub
High-quality implementations of standard and SOTA methods on a variety of tasks.
⭐ Stars
1.6k
🍴 Forks
223
📜 License
Apache-2.0
Commercial use OK📅 Created
2020
🔄 Last commit
11 days ago
🏷️ Category
bayesian-methods
💻 Language
You maintain this project?
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
📈 Star history
2026-07-202026-07-21
📄 About
High-quality implementations of standard and SOTA methods on a variety of tasks.
❓ Frequently asked questions
What is uncertainty-baselines?
High-quality implementations of standard and SOTA methods on a variety of tasks.
Is uncertainty-baselines open source?
uncertainty-baselines is an open-source project. It is released under the Apache-2.0 license.
Is uncertainty-baselines free?
Yes. uncertainty-baselines is free and open source — you can use, modify and self-host it.
🏅 Maintainer of this project?
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://opensourceai.tech/project/google-uncertainty-baselines.html)
🧬 Shares DNA with🧬 View the DNA map →
edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inferen…
★ 4.8k · bayesian-methods
sharesbayesian-methodsdata-science
probability
Probabilistic reasoning and statistical analysis in TensorFlow
★ 4.4k · bayesian-methods
sharesbayesian-methodsdata-science
orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models…
★ 2.1k · arima
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.