frugally-deep VS nano

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

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frugally-deep nano
5 -
1,043 22
- -
8.0 8.4
6 days ago -
C++ C++
MIT 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.

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.

nano

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

We haven't tracked posts mentioning nano yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing frugally-deep and nano you can also consider the following projects:

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

btsk - Behavior Tree Starter Kit

tensorflow - An Open Source Machine Learning Framework for Everyone

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

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

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

Genann - simple neural network library in ANSI C

Native System Automation - Native cross-platform system automation

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