Nerve
cmake-init
Our great sponsors
| Nerve | cmake-init | |
|---|---|---|
| 4 | 164 | |
| 42 | 1,812 | |
| - | - | |
| 6.2 | 8.1 | |
| 5 months ago | 7 days ago | |
| C | CMake | |
| MIT License | GNU General Public License v3.0 only |
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.
Nerve
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[Hobby] I Need a Friendly Team. Your Experience Doesn't Matter!
Nerve (Neural Network Library) : https://github.com/fkkarakurt/Nerve
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Nerve | Neural Network Library
Did you find the short and concise documentation at https://github.com/fkkarakurt/Nerve/wiki insufficient? If so, I might consider making some improvements to it.
GITHUB REPO => https://github.com/fkkarakurt/Nerve WIKI => https://github.com/fkkarakurt/Nerve/wiki STRUCTURE => https://github.com/fkkarakurt/Nerve#internal-structure
cmake-init
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CMake install schema for single- and multi-config generators
https://github.com/friendlyanon/cmake-init This is how you do CMake properly. If you deviate from its install rules you are highly likely to do something wrong.
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cgen: another declarative CMake configuration generator
CMake itself is as declarative as a build systems need to be. For anything nontrivial, these "declarative" solutions all fall apart. Just use https://github.com/friendlyanon/cmake-init, learn CMake and you won't have any issues.
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How does one actually build a C++ project
If you want something with a (mostly) Just Works experience then just use https://github.com/friendlyanon/cmake-init
- CMakeList.txt, add_executable vs. add_library vs. target_link_libraries vs. target_link_directories
- Check out my tasks.json for C++ of VScode
- Clang++ Halp
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Putting libraries in program folder
For CMake basics check out the official "Getting started" tutorial: https://cmake.org/cmake/help/latest/guide/tutorial/index.html, as well as Introduction to Modern CMake. You can also get inspired by the CMake project generator cmake-init
- Recourses to help understand libraries/projects and setting them up?
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How to Create a Modern C Project with CMake and Conan
You can just use https://github.com/friendlyanon/cmake-init to get a CMake + Conan C project ready to go with a short little command: cmake-init --c -e -p conan coolio
- CMake template
What are some alternatives?
ruby-fann - Ruby library for interfacing with FANN (Fast Artificial Neural Network)
meson - The Meson Build System
sod - An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
w64devkit - Portable C and C++ Development Kit for x64 (and x86) Windows
Genann - simple neural network library in ANSI C
xmake - 🔥 A cross-platform build utility based on Lua
iNeural - A library for creating Artificial Neural Networks, for use in Machine Learning and Deep Learning algorithms.
fastbuild - High performance build system for Windows, OSX and Linux. Supporting caching, network distribution and more.
artificial-intelligence-and-machine-learning - A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm
ModernCppStarter - 🚀 Kick-start your C++! A template for modern C++ projects using CMake, CI, code coverage, clang-format, reproducible dependency management and much more.
igel - a delightful machine learning tool that allows you to train, test, and use models without writing code
llvm-mingw - An LLVM/Clang/LLD based mingw-w64 toolchain