emukit VS lumos

Compare emukit vs lumos and see what are their differences.

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)

lumos

Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs" (by allenai)
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emukit lumos
1 4
565 411
0.2% 44.3%
5.0 8.9
6 days ago about 2 months ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

emukit

Posts with mentions or reviews of emukit. We have used some of these posts to build our list of alternatives and similar projects.

lumos

Posts with mentions or reviews of lumos. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-01.

What are some alternatives?

When comparing emukit and lumos you can also consider the following projects:

monaco - Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.

Awesome-Prompt-Engineering - This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

manticore - Symbolic execution tool

maze - Maze Applied Reinforcement Learning Framework

Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

SwiftSage - SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks

baybe - Bayesian Optimization and Design of Experiments

ToolEmu - A language model (LM)-based emulation framework for identifying the risks of LM agents with tool use

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