MV-Tractus VS Genann

Compare MV-Tractus vs Genann and see what are their differences.

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
MV-Tractus Genann
3 7
103 1,859
- -
3.4 0.0
4 months ago 7 months ago
C C
- zlib 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.

MV-Tractus

Posts with mentions or reviews of MV-Tractus. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-17.

Genann

Posts with mentions or reviews of Genann. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-16.
  • Machine learning Library in C?
    2 projects | /r/C_Programming | 16 Oct 2022
  • Ask HN: What ML platform are you using?
    6 projects | news.ycombinator.com | 13 Mar 2022
    > I am very much a beginner in the space of machine learning

    While the (precious and useful) advice around seem to cover mostly the bigger infrastructures, please note that

    you can effectively do an important slice of machine learning work (study, personal research) with just a battery-efficiency-level CPU (not GPU), in the order of minutes, on a battery. That comes before going to "Big Data".

    And there are lightweight tools: I am current enamoured with Genann («minimal, well-tested open-source library implementing feedfordward artificial neural networks (ANN) in C»), a single C file of 400 lines compiling to a 40kb object, yet well sufficient to solve a number of the problems you may meet.

    https://codeplea.com/genann // https://github.com/codeplea/genann

    After all, is it a good idea to have tools that automate process optimization while you are learning the deal? Only partially. You should build - in general and even metaphorically - the legitimacy of your Python ops on a good C ground.

    And: note that you can also build ANNs in R (and other math or stats environments). If needed or comfortable...

    Also note - reminder - that the MIT lessons of Prof. Patrick Winston for the Artificial Intelligence course (classical AI with a few lessons on ANNs) are freely available. That covers the grounds relative to climb into the newer techniques.

  • Small tensor library in C99
    3 projects | /r/C_Programming | 15 Aug 2021
  • C Deep
    80 projects | dev.to | 27 Feb 2021
    Genann - Simple ANN in C89, without additional dependencies. Zlib

What are some alternatives?

When comparing MV-Tractus and Genann you can also consider the following projects:

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

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

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

tensorflow - An Open Source Machine Learning Framework for Everyone

ANNetGPGPU - A GPU (CUDA) based Artificial Neural Network library

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

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

mpegflow - A tool for easy extraction of motion vectors stored in video files

AI-Toolbox - A C++ framework for MDPs and POMDPs with Python bindings

nano

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

btsk - Behavior Tree Starter Kit