
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.
NumCpp
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Machine Learning using C++ vs Python
Yeah, as someone who writes C++ daily for their ML related job, I concur that the cost of executing a convolutions dwarves the overhead of calling from Python. So as much as I like C++ over Python (because static compilation to find little typos or type mismatches ahead of time is much nicer than exploding 5 minutes later into my batched vision recognition problem 😠), generally for small problems, Python is a nice quick and dirty approach. I do have my eye though on this little C++ numpy clone.
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Can i use numpy with c or c++ ?
Despite being written in C itself, the primary external API is for Python, and though it is possible to call via C, it's quite ungainly (several ref-counted Py_* calls and structs). It's probably easier to just consume a library that targets C++ directly like xtensor (https://xtensor.readthedocs.io/en/latest/numpy.html) or NumCpp (https://github.com/dpilger26/NumCpp).
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trouble with linspace functions
I am trying to feed 2 different 3 column 1 row arrays into a linspace function using the NumCPP package, but i'm getting errors such as:
- Read python pickle files in C++
eigen
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Blaze: A High Performance C++ Math library
Is Eigen still alive? There's been no release in 3 years, and no news about it: https://gitlab.com/libeigen/eigen/-/issues/2699
- Gentoo -Os vs -O3 application startup time?
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The Case of the Missing SIMD Code
I was curious about these libraries a few weeks ago and did some searching. Is there one that's got a clearly dominating set of users or contributors?
I don't know what a good way to compare these might be, other than perhaps activity/contributor count.
[1] https://github.com/simd-everywhere/simde
[2] https://github.com/ermig1979/Simd
[3] https://github.com/google/highway
[4] https://gitlab.com/libeigen/eigen
[5] https://github.com/shibatch/sleef
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FetchContent and PROJECT_IS_TOP_LEVEL
I am trying to include Eigen in my project via FetchContent. They define/assume-defined PROJECT_IS_TOP_LEVEL on line 19 and, among other locations, on line 607 in their top level list file.
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Common practices when doing image processing on the GPU
Eigen is a header-only library, thus simply cloning it from the official repository into the FOGGDD folder should be enough.
- Use TFlite in a Cmake Project
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I've decided to learn Godot and it feels like I have "lost"
math library because you should never implement a math library yourself, and you probably want somethign more focused on performance than STL. GLM may work if you just need basic vector support. Eigen may help for a more physics heavy game. But I'd probably find something in-between those two
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CMake: How to include the headers of an external library downloaded with FetchContent?
cmake_minimum_required(VERSION 3.15) project(app) include(FetchContent) FetchContent_Declare(Eigen3 URL https://gitlab.com/libeigen/eigen/-/archive/3.4.0/eigen-3.4.0.tar.gz) FetchContent_MakeAvailable(Eigen3) add_executable(app main.cpp) target_link_libraries(app Eigen3::Eigen)
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-🎄- 2021 Day 13 Solutions -🎄-
Today was very easy to do with Eigen
- The official Eigen repo is now back online
What are some alternatives?
RxCpp - Reactive Extensions for C++
mathfu - C++ math library developed primarily for games focused on simplicity and efficiency.
examples - Example data structures and algorithms
learn-gdscript - Learn Godot's GDScript programming language from zero, right in your browser, for free.
vinum - Vinum is a SQL processor for Python, designed for data analysis workflows and in-memory analytics.
parallel-hashmap - A family of header-only, very fast and memory-friendly hashmap and btree containers.
tuninglib - A C++ Class and Template Library for Performance Critical Applications
advent-of-code
casadi - CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
CppRobotics - Header-only C++ library for robotics, control, and path planning algorithms. Work in progress, contributions are welcome!
Data-Structures-and-Algorithms - Data Structures and Algorithms implemented In Python, C, C++, Java or any other languages. Aimed to help strengthen the concepts of DSA. Give a Star 🌟 if it helps you.
embree-aarch64 - AARCH64 port of Embree ray tracing library
