Top 5 Python experimental-design Projects
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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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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.
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trimmed_match
This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.
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awesome-experimental-standards-deep-learning
Repository collecting resources and best practices to improve experimental rigour in deep learning research.
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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.
Project mention: BayBE – A Bayesian Back End for Design of Experiments | news.ycombinator.com | 2023-12-06
Index
What are some of the best open-source experimental-design projects in Python? This list will help you:
Project | Stars | |
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1 | yacs | 1,237 |
2 | emukit | 564 |
3 | baybe | 178 |
4 | trimmed_match | 55 |
5 | awesome-experimental-standards-deep-learning | 25 |
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