7 best C++ Machine Learning libraries in 2023
by email@example.com Updated: Jan 2, 2023
C++ is an experienced language with a vast history of development. Its long existence and the diversity of its implementations make it a popular choice for many developers. But in the last decade, a new trend has emerged: machine learning. Although it might seem like new technology, its roots stretch back to the late 1950s. And despite its growth exponentially over the last few years, C++ has been used for machine learning applications since the early 2000s. Many developers depend on the following open source libraries: C-Plus-Plus - Collection of various algorithms in mathematics, machine learning, computer science, and physics implemented in C for educational purposes; Flashlight - standalone library for machine learning; Dlib - a toolkit for making real-world machine learning and data analysis applications. Check out the 7 best C++ libraries to use in machine learning projects this year.
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
C++ 24618 Version:Current License: Permissive (MIT)
A toolkit for making real world machine learning and data analysis applications in C++
C++ 11993 Version:v19.24.2 License: Permissive (BSL-1.0)
A C++ standalone library for machine learning
C++ 4849 Version:v0.3.2 License: Permissive (MIT)
mlpack: a fast, header-only C++ machine learning library
C++ 4421 Version:4.1.0 License: Others (Non-SPDX)
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, VMX(Altivec) and VSX(Power7) for PowerPC, NEON for ARM.
C++ 1791 Version:v5.2.125 License: Permissive (MIT)
Hands-On Machine Learning with C++, published by Packt
C++ 287 Version:Current License: Permissive (MIT)