lumos VS emukit

Compare lumos vs emukit and see what are their differences.

lumos

Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs" (by allenai)

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)
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lumos emukit
4 1
413 565
44.6% 0.2%
8.9 5.0
about 2 months ago 12 days ago
Python Python
MIT License Apache License 2.0
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.

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.

emukit

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

What are some alternatives?

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

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

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

maze - Maze Applied Reinforcement Learning Framework

manticore - Symbolic execution tool

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

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

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

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