Search Results for "armadillo-9.900.4.tar.xz"
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Showing 20 open source projects for "armadillo-9.900.4.tar.xz"
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Armadillo
fast C++ library for linear algebra & scientific computing
... * Downloads: http://arma.sourceforge.net/download.html * Documentation: http://arma.sourceforge.net/docs.html * Bug reports: http://arma.sourceforge.net/faq.html * Git repo: https://gitlab.com/conradsnicta/armadillo-code -
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s6-overlay
s6 overlay for containers (includes execline, s6-linux-utils
s6-overlay is an easy-to-install (just extract a tarball or two!) set of scripts and utilities allowing you to use existing Docker images while using s6 as a pid 1 for your container and process supervisor for your services. -
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mlpack
mlpack: a scalable C++ machine learning library
...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. -
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SigPack
SigPack - A signal processing library using Armadillo
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. -
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Enotic-Archivator
Small archivator for Windows
Small programm for create and unarchive archives. Make it on Python, pyqt5. You are can create and unarchive the zip format, 7zip format and tar format (tar.gz, tar.bz2, tar.xz). The official sites of download is SourceForge and GitHub. Donate me: https://pay.cloudtips.ru/p/dfeb976c -
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Bandicoot
fast C++ library for GPU linear algebra & scientific computing
* 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 -
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Pangolin Desktop
Pangolin Desktop UI shell, designed for dahliaOS, written in Flutter
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. -
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tranSKadooSH
🐼 Skadoosh Reborn, A project to upload compressed android sources.
...Then I founded "tranSKadooSH", a transcended variant from original "skadoosh". Currently it is operated manually. It only uploads shallow repo sources, in compressed multi-part "*.tar.xz" format. Developers can join the parts and then extract into Android's Working Directory followed by "repo sync" again just to checkout files from inside the .repo folder. Using the .repo folder is easy and handy, because a repo of 12 GB can checkout around 28 GB files (In SlimRoms 'or-8.1' branch). Also, it can fetch updated files by using such small amount of bandwidth. ... -
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DaNNet
Deep Artificial Neural Network framework using Armadillo
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. -
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IMAGE FOR EXT4 FILE SYSTEM FORENSICS 1) Download the files required for the project 2) Extract the raw image from 'image1.tar.xz' using the following command # tar -xf image1.tar.xz 3) Download 'hash.txt' to the same folder as the raw image 4) Verify if the hash of the downloaded image matches that in 'hash.txt', using # md5sum image1.dd > check_hash.txt # md5sum -c check_hash.txt hash.txt
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libfastknn
Fast C++ KNN classifier
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. -
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kminicom
Kminicom : a KDE/Qt Gui to Minicom
...This beta release provides most of the Minicom features: . serial line management and modem control . use and editing of macro commands . script execution . files uploading and downloading A modified release of minicom-2.6.2 is provided by this package. See README for details. Build requires Cmake, KDE4 >= 4.8.x and Qt; a "configure" script and a Makefile are provided to ease the build process. A "tar.xz" and a RPM source package (Mandriva / Mageia) are also provided. ChangeLog (02/24/2016) - Fix processing of settings dialog cancel - Add ChangeLog file -
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ViennaCL
Linear algebra and solver library using CUDA, OpenCL, and OpenMP
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. -
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ArmaNpy is a set of SWIG interface files which allows for generating Python bindings to C++ code which uses the Armadillo matrix library.
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kscope4
Kscope4 is a cscope GUI frontend for KDE4 / Qt4
...KDE4, Qt4 and CMake are required to build `kscope' The graph features require Dot and Graphviz packages to be installed The archive file contains a `configure' shell script and a `Makefile' to ease the building process ( see `INSTALL' for details ) A source RPM package is available along with a .tar.xz archive ChangeLog: rel. 1.8.1 (11/18/2015) - On startup don't rebuild the cscope database if no file was modified - Sort hints used for symbol query - Save/restore symbol queries history in "Project" mode ChangeLog: rel. 1.8.0 (09/09/2015) - Port graph to pure Qt4. Thanks to Alexander Stein -
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KScriptDbg4
A GUI to Perl & Python script debugger
...Main improvements to Protoeditor are : the stack is displayed in a separate page and the breakpoints are saved in the global config file in order to be restored at the next session on the same script. KDE4, Qt4 & Cmake are required to build this GUI; a 'configure' script & a Makefile are provided to help building KScriptDbg (see INSTALL for details) A '.tar.xz' & a source RPM pkg. are also available Changelog v1.2.2: Highlight changed values of global & local variables -
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ArmaMx
SWIG typemaps to bind armadillo C++ matrices to Matlab
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. -
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libkine
A serial robot kinematics library
...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. ...
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