maro VS blender-quadcopter-fpv

Compare maro vs blender-quadcopter-fpv and see what are their differences.

maro

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems. (by microsoft)

blender-quadcopter-fpv

Quadcopter FPV Simulator for blender to capture epic footage (by hazkaz)
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maro blender-quadcopter-fpv
9 2
816 7
1.7% -
3.5 0.0
2 months ago almost 3 years ago
Python Python
MIT License GNU General Public License v3.0 only
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.

maro

Posts with mentions or reviews of maro. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-12.

blender-quadcopter-fpv

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

What are some alternatives?

When comparing maro and blender-quadcopter-fpv you can also consider the following projects:

openerp-6.1.1

habitat-api - A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators. [Moved to: https://github.com/facebookresearch/habitat-lab]

pyEnigma - Python Enigma cypher machine simulator.

agents-aea - A framework for autonomous economic agent (AEA) development

VMAgent - Our VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks.

ai-economist - Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

palletier - Palletier is a Python implementation of the solution for the distributer's pallet packing problem

Mava - 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

or-gym - Environments for OR and RL Research

yat-trailer-loading - Temp Repo for Trailer Loading

fleetbase - Modular logistics and supply chain operating system (LSOS)

chatarena - ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.