diff --git a/d9/d66/group__machine__learning.js b/d9/d66/group__machine__learning.js index 1fb54b07..ec37f3ff 100644 --- a/d9/d66/group__machine__learning.js +++ b/d9/d66/group__machine__learning.js @@ -1,7 +1,5 @@ var group__machine__learning = [ - [ "Algorithms implemented in C (for education)", "index.html#autotoc_md32", null ], - [ "Contribute Guidelines", "index.html#autotoc_md33", null ], [ "Overview about functions", "de/d20/md_data_structures_dictionary__r_e_a_d_m_e.html#autotoc_md9", null ], [ "Content", "d1/d12/md_data_structures_stack__r_e_a_d_m_e.html#autotoc_md11", null ], [ "Public interface", "d1/d12/md_data_structures_stack__r_e_a_d_m_e.html#autotoc_md12", null ], diff --git a/index.html b/index.html index 7287f7fd..724623ef 100644 --- a/index.html +++ b/index.html @@ -94,16 +94,30 @@ $(document).ready(function(){initNavTree('index.html',''); initResizable(); });
The Algorithms - C
-

Gitpod Ready-to-Code Gitter chat contributions welcome  GitHub repo size GitHub closed pull requests Doxygen CI Awesome CI Workflow

-

Online Documentation.

-

Click on Files menu to see the list of all the files documented with the code.

-

All the code can be executed and tested online: using Google Colab Notebook

-

-Algorithms implemented in C (for education)

-

The implementations are for learning purpose. They may be less efficient than the implementation in the standard library.

-

-Contribute Guidelines

-

Read our Contribution Guidelines before you contribute.

+

+

Gitpod Ready-to-Code Language grade: C/C++ Gitter chat contributions welcome GitHub repo size Doxygen CI Awesome CI

+

+Overview

+

The repository is a collection of open-source implementation of a variety of algorithms implemented in C and licensed under GPLv3 License. The algorithms span a variety of topics from computer science, mathematics and statistics, data science, machine learning, engineering, etc.. The implementations and the associated documentation are meant to provide a learning resource for educators and students. Hence, one may find more than one implementation for the same objective but using a different algorithm strategies and optimizations.

+

+Features

+
    +
  • The repository provides implementations of various algorithms in one of the most fundamental general purpose languages - C.
  • +
  • Well documented source code with detailed explanations provide a valuable resource for educators and students alike.
  • +
  • Each source code is atomic using standard C library libc and no external libraries are required for their compilation and execution. Thus the fundamentals of the algorithms can be studied in much depth.
  • +
  • Source codes are compiled and tested for every commit on the latest versions of three major operating systems viz., Windows, MacOS and Ubuntu (Linux) using MSVC 16 2019, AppleClang 11.0 and GNU 7.5.0 respectively.
  • +
  • Strict adherence to C11 standard ensures portability of code to embedded systems as well like ESP32, ARM Cortex, etc. with little to no changes.
  • +
  • Self-checks within programs ensure correct implementations with confidence.
  • +
  • Modular implementations and OpenSource licensing enable the functions to be utilized conveniently in other applications.
  • +
+

+Documentation

+

Online Documentation is generated from the repository source codes directly. The documentation contains all resources including source code snippets, details on execution of the programs, diagrammatic representation of program flow, and links to external resources where necessary. Click on Files menu to see the list of all the files documented with the code.

+

Documentation of Algorithms in C by The Algorithms Contributors is licensed under CC BY-SA 4.0
+ Creative Commons LicenseCredit must be given to the creatorAdaptations must be shared under the same terms

+

+Contributions

+

As a community developed and maintained repository, we welcome new un-plagiarized quality contributions. Please read our Contribution Guidelines.

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