indexed_bzip2 VS iNeural

Compare indexed_bzip2 vs iNeural and see what are their differences.

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indexed_bzip2 iNeural
1 4
66 5
- -
9.5 0.0
5 days ago over 1 year ago
C++ C++
Apache License 2.0 GNU Affero General Public License v3.0
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.

indexed_bzip2

Posts with mentions or reviews of indexed_bzip2. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

When comparing indexed_bzip2 and iNeural you can also consider the following projects:

eventbus - A simple, header only event bus library written in modern C++17.

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

py7zr - 7zip in python3 with ZStandard, PPMd, LZMA2, LZMA1, Delta, BCJ, BZip2, and Deflate compressions, and AES encryption.

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

ancient - Decompression routines for ancient formats

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

Elements C++ GUI library - Elements C++ GUI library

Seayon - Open source Neural Network library in C++

static_string - Experimental compile-time string manipulation C++17 library

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.

rapidgzip - Gzip Decompression and Random Access for Modern Multi-Core Machines

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