Top 7 Python uncertainty-quantification Projects
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uncertainty-toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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emukit
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc. (by EmuKit)
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deephyper
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
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deep-kernel-transfer
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
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monaco
Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
Python uncertainty-quantification related posts
Index
What are some of the best open-source uncertainty-quantification projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | uncertainty-toolbox | 1,711 |
2 | fortuna | 850 |
3 | emukit | 564 |
4 | deephyper | 262 |
5 | deep-kernel-transfer | 190 |
6 | monaco | 78 |
7 | tablespoon | 39 |
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