Python experimental-design

Open-source Python projects categorized as experimental-design

Top 5 Python experimental-design Projects

experimental-design
  1. yacs

    YACS -- Yet Another Configuration System (by rbgirshick)

  2. CodeRabbit

    CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

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  3. 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)

  4. baybe

    Bayesian Optimization and Design of Experiments

  5. 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.

  6. awesome-experimental-standards-deep-learning

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

  7. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    SaaSHub 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).

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Index

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

# Project Stars
1 yacs 1,294
2 emukit 615
3 baybe 304
4 trimmed_match 60
5 awesome-experimental-standards-deep-learning 27

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