yacs
emukit
Our great sponsors
| yacs | emukit | |
|---|---|---|
| 1 | 1 | |
| 1,237 | 564 | |
| - | 0.9% | |
| 0.0 | 5.6 | |
| about 2 years ago | 23 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
yacs
emukit
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Emukit sklearn example - question
In Exercise 2 of the notebook on emukit and experimental design, there's a reference to this notebook in the emukit docs.
What are some alternatives?
awesome-experimental-standards-deep-learning - Repository collecting resources and best practices to improve experimental rigour in deep learning research.
monaco - Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
abcvoting - Python implementations of approval-based committee (multi-winner) voting rules
manticore - Symbolic execution tool
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
baybe - Bayesian Optimization and Design of Experiments
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.
pybads - PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python
lumos - Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs"