Search Results for "armadillo"

... * Downloads: https://arma.sourceforge.net/download.html * Documentation: https://arma.sourceforge.net/docs.html * Bug reports: https://arma.sourceforge.net/faq.html * Git repo: https://gitlab.com/armadillo-lib/armadillo-code

...In addition to its powerful C++ interface, mlpack also provides command-line programs, Python bindings, Julia bindings, Go bindings and R bindings. Written in C++ and built on the Armadillo linear algebra library, the ensmallen numerical optimization library, and parts of Boost. Aims to provide fast, extensible implementations of cutting-edge machine learning algorithms. mlpack uses CMake as a build system and allows several flexible build configuration options. You can consult any of the CMake tutorials for further documentation, but this tutorial should be enough to get mlpack built and installed.

SigPack is a C++ signal processing library using the Armadillo library as a base. The API will be familiar for those who has used IT++ and Octave/Matlab.

* Fast GPU linear algebra library (matrix maths) for the C++ language, aiming towards a good balance between speed and ease of use * Provides high-level syntax and functionality deliberately similar to Matlab * Provides an API that is aiming to be compatible with Armadillo for easy transition between CPU and GPU linear algebra code * Useful for algorithm development directly in C++, or quick conversion of research code into production environments * Distributed under the permissive Apache 2.0 license, useful for both open-source and proprietary (closed-source) software * Can be used for machine learning, pattern recognition, computer vision, signal processing, bioinformatics, statistics, finance, etc * Downloads: http://coot.sourceforge.io/download.html * Documentation: http://coot.sourceforge.io/docs.html * Bug reports: http://coot.sourceforge.io/faq.html * Git repo: https://gitlab.com/conradsnicta/bandicoot-code

Pangolin Desktop UI shell, designed for dahliaOS, written in Flutter. You can run Pangolin on any platform that Flutter supports but we recommend running it on Linux as some features of Pangolin are designed exclusively for Linux and won't work on other platforms.

DaNNet is a C++ deep neural network library using the Armadillo library as a base. It is intended to be a small and easy to use framework with no other dependencies than Armadillo. It uses independent layer-wise optimization giving you full flexibility to train your network.

KNN Classifier library for C++, at background using armadillo. In k-NN classification, the output is a class membership. An object is classified by a majority vote of its neighbors, with the object being assigned to the class most common among its k nearest neighbors (k is a positive integer, typically small). If k = 1, then the object is simply assigned to the class of that single nearest neighbor.

ViennaCL provides high level C++ interfaces for linear algebra routines on CPUs and GPUs using CUDA, OpenCL, and OpenMP. The focus is on generic implementations of iterative solvers often used for large linear systems and simple integration into existing projects.

ArmaNpy is a set of SWIG interface files which allows for generating Python bindings to C++ code which uses the Armadillo matrix library.

ArmaMx is a set of SWIG interface files which allows generating Matlab bindings to C++ code which uses the Armadillo matrix library. From within Matlab any Armadillo matrices are represented as native Matlab matrices. This is possible due to the same memory layout used. Copying of memory is avoided whenever possible. It also supports boost::shared_ptr wrapped return values of Armadillo matrices.

A python/pygame toolkit for making adventure games. examples are provided.

...Feature: --- * [x] DH Paramters * [x] Homogenous transformation matrix * [ ] Screw theory * [ ] Rigid body velocity / Jacobian * [x] 3D Visualization with using STL files Dependencies: --- 1. VTK for visualization 2. Armadillo for matrix calculation 3. FLTK for the joint sider interface How to Install: --- 1. Make sure you have git-lfs installed 2. Clone the repository: git clone git@github.com:auralius/libkine.git 3. Go to the directory of the cloned project, use git-lfs to get the binaries and the robot 3D models: git lfs checkout 4. Build the source using CMake 5. ...