frugally-deep VS AI-Toolbox

Compare frugally-deep vs AI-Toolbox and see what are their differences.

frugally-deep

Header-only library for using Keras (TensorFlow) models in C++. (by Dobiasd)
Artificial intelligence Tensorflow Deep Learning Keras CPP Cpp14 header-only Library C++ c-plus-plus-14 convolutional-neural-networks Prediction Machine Learning Python keras-models tinyml edge-computing
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AI-Toolbox

A C++ framework for MDPs and POMDPs with Python bindings (by Svalorzen)
Artificial intelligence C++ markov-decision-processes Python Mdps Pomdps reinforcement-learning Planning
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frugally-deep AI-Toolbox
5 2
1,043 640
- -
8.0 5.1
7 days ago 4 months ago
C++ C++
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.

frugally-deep

Posts with mentions or reviews of frugally-deep. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-03.

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 frugally-deep and AI-Toolbox you can also consider the following projects:

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

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

tensorflow - An Open Source Machine Learning Framework for Everyone

Veles - Distributed machine learning platform

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

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

Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System

Genann - simple neural network library in ANSI C

nano

frugally-deep vs Pytorch AI-Toolbox vs Recast/Detour frugally-deep vs tensorflow AI-Toolbox vs Veles frugally-deep vs tiny-cnn AI-Toolbox vs BayesOpt frugally-deep vs Taskflow AI-Toolbox vs tensorflow frugally-deep vs Genann AI-Toolbox vs tiny-cnn frugally-deep vs nano AI-Toolbox vs nano