Kolkir/mlcpp
Set of examples of ML approaches implemented in C++
This project provides practical, hands-on examples of various machine learning approaches, showcasing how to implement them in C++ using different frameworks. It takes common machine learning problems like polynomial regression or image classification and demonstrates their coding solutions. Software developers or machine learning engineers who need to integrate ML capabilities into C++ applications would find this useful.
294 stars. No commits in the last 6 months.
Use this if you are a C++ developer looking for concrete, runnable examples to understand or implement machine learning algorithms in your C++ projects.
Not ideal if you are an end-user seeking a ready-to-use application, or if you prefer a high-level Python interface for machine learning tasks.
Stars
294
Forks
52
Language
C++
License
BSD-2-Clause
Category
Last pushed
Jul 22, 2020
Commits (30d)
0
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