Python experimental-design

Open-source Python projects categorized as experimental-design

Top 5 Python experimental-design Projects

  • yacs

    YACS -- Yet Another Configuration System (by rbgirshick)

  • 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)

  • 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.

    WorkOS logo
  • baybe

    Bayesian Optimization and Design of Experiments

  • Project mention: BayBE – A Bayesian Back End for Design of Experiments | news.ycombinator.com | 2023-12-06
  • 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.

  • awesome-experimental-standards-deep-learning

    Repository collecting resources and best practices to improve experimental rigour in deep learning research.

  • 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.

    InfluxDB logo
NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Index

What are some of the best open-source experimental-design projects in Python? This list will help you:

Project Stars
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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