iNeural VS CNTK

Compare iNeural vs CNTK and see what are their differences.

iNeural

A library for creating Artificial Neural Networks, for use in Machine Learning and Deep Learning algorithms. (by fkkarakurt)
Machine Learning Library Artificial intelligence Deep Learning neural-network Python CPP C Network Algorithms neural-networks artificial-neural-networks
Source Code
fkkarakurt.github.io
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CNTK

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit (by microsoft)
Artificial intelligence cognitive-toolkit Cntk Deep Learning Machine Learning deep-neural-networks neural-network Distributed Python C++ C# Java
Source Code
docs.microsoft.com
Docs
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iNeural CNTK
4 1
5 17,435
- 0.0%
0.0 0.0
over 1 year ago about 1 year ago
C++ C++
GNU Affero General Public License v3.0 GNU General Public License v3.0 or later
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.

iNeural

Posts with mentions or reviews of iNeural. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-24.

CNTK

Posts with mentions or reviews of CNTK. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-20.

What are some alternatives?

When comparing iNeural and CNTK you can also consider the following projects:

fann - Official github repository for Fast Artificial Neural Network Library (FANN)

Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor

GPBoost - Combining tree-boosting with Gaussian process and mixed effects models

tensorflow - An Open Source Machine Learning Framework for Everyone

command - Command, ::process::Command like syscalls in C++.

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

Seayon - Open source Neural Network library in C++

Caffe - Caffe: a fast open framework for deep learning.

Nerve - This is a basic implementation of a neural network for use in C and C++ programs. It is intended for use in applications that just happen to need a simple neural network and do not want to use needlessly complex neural network libraries.

Keras - Deep Learning for humans

armnn - Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn

scikit-learn - scikit-learn: machine learning in Python

iNeural vs fann CNTK vs Theano iNeural vs GPBoost CNTK vs tensorflow iNeural vs command CNTK vs Pytorch iNeural vs Seayon CNTK vs Caffe iNeural vs Nerve CNTK vs Keras iNeural vs armnn CNTK vs scikit-learn