emukit
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emukit | trimmed_match | |
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1 | 1 | |
565 | 55 | |
0.2% | - | |
5.0 | 2.7 | |
6 days ago | 11 months ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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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.
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Is Hierarchical Bayesian Modelling used in industry?
Trimmed Match - paper, python package
What are some alternatives?
monaco - Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
GeoexperimentsResearch - An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google product.
manticore - Symbolic execution tool
mta - Multi-Touch Attribution
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Robyn - Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
baybe - Bayesian Optimization and Design of Experiments
lightweight_mmm - LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
pybads - PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python
matched_markets - Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.
lumos - Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs"