Native System Automation VS AI-Toolbox

Compare Native System Automation vs AI-Toolbox and see what are their differences.

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Native System Automation AI-Toolbox
1 2
208 641
0.0% -
0.0 5.1
over 1 year ago 4 months ago
C++ C++
zlib 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.

Native System Automation

Posts with mentions or reviews of Native System Automation. We have used some of these posts to build our list of alternatives and similar projects.
  • PyAutoGui library for c++
    1 project | /r/cpp_questions | 31 Mar 2021
    While you can do that (quick internet search resulted in https://github.com/Robot/robot , not sure if it does everything you want), C++ is not exactly the right tool for that job. Use Autohotkey or keep using Python.

AI-Toolbox

Posts with mentions or reviews of AI-Toolbox. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-02.
  • Impact of using sockets to communicate between Python and RL environment
    2 projects | /r/reinforcementlearning | 2 Oct 2022
    Makes sense. I was just wondering if someone had any comparisons to share. I will create a toy environment in Unreal and compare integrating RL C++ libraries (looking at AI-Toolbox and mlpack) vs using Python with socket communication.
  • Greedy AI agents learn to cooperate
    3 projects | news.ycombinator.com | 6 Sep 2021
    I maintain a repository of many implementations of classical (tabular) RL algorithms [1] which you might enjoy playing with when starting out. I use it for both research and for student projects. The advantage of avoiding NNs when starting out is that it is much simpler to inspect the inner workings of an algorithm to see whether it's working or not.

    I'm always happy to help if something is unclear or difficult so feel free to open issues there :)

    [1]: https://github.com/Svalorzen/AI-Toolbox

What are some alternatives?

When comparing Native System Automation and AI-Toolbox you can also consider the following projects:

Tulip Cell - TulipCell is an Excel add-in providing 100+ technical analysis indicators.

Recast/Detour - Industry-standard navigation-mesh toolset for games

CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

Veles - Distributed machine learning platform

frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.

BayesOpt - BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.

nano

tensorflow - An Open Source Machine Learning Framework for Everyone

tiny-cnn - header only, dependency-free deep learning framework in C++14