Open Source Mac Data Visualization Software - Page 32

ExponentialUtilities is a package of utility functions for matrix functions of exponential type, including functionality for the matrix exponential and phi-functions. These methods are more numerically stable, generic (thus support a wider range of number types), and faster than the matrix exponentiation tools in Julia's Base. The tools are used by the exponential integrators in OrdinaryDiffEq. The package has no external dependencies, so it can also be used independently.

Exporter - A database and dataminig tool (coded in Java)

This project draws the binary tree representation of an arithmetic expression. It can be compiled on Windows or Linux.

Prototype for a framework and user interface for combining various structured search and document clustering techniques.

An extensible TIFF codec for Java 1.2 Advanced Imaging, allowing for extended compression types, writing tiled images etc. Used by GeoTIFF-JAI project.

EyesRay render a 3D scene with the raytracing algorithm. Some specifics points are: a scene loader, the support of transparency, avaibility to generate images (ppm format)...

EzXML.jl is a package to handle XML/HTML documents for primates. This package depends on libxml2, which will be automatically installed as an artifact via XML2_jll.jl if you use Julia 1.3 or later. Currently, Windows, Linux, macOS, and FreeBSD are now supported.

Ezys is a non-linear 3D medical image registration program. Ezys fully exploits the parallel computing power of inexpensive commercial graphics processing units (GPU), resulting in a very fast and accurate program capable of running on desktop PCs and even some laptops. On these systems, non-linear image registrations take less than a minute to complete. Ezys implements a diffeomorphic inverse consistent image registration algorithm with a demons-style regularization based on a non-parametric free form deformation model. Mutual Information and Normalized Mutual Information cost functions make Ezys a perfect tool for an inter-modal image registration.

The FAKE GAME tool uses natural evolution to evolve Data Mining models. It incorporates several preprocessing, optimization and visualization methods aimed to streamline the Knowledge Discovery process. Knowledge Extraction from data is being automated!

FDTD Antenna Simulator is a complete software package for antenna analysis and design using the FDTD method.

FEVal, the Finite Element Evaluator written in Python, provides easy conversion for many Finite Element data formats (both binary and ascii). Mesh modification is very easy. Values of model results can be accessed given coordinates in physical space.

This package provides Julia bindings to the FFTW library for fast Fourier transforms (FFTs), as well as functionality useful for signal processing. These functions were formerly a part of Base Julia. Users with a build of Julia based on Intel's Math Kernel Library (MKL) can use MKL for FFTs by setting a preference in their top-level project by either using the FFTW.set_provider!() method, or by directly setting the preference using Preferences.jl. Note that this choice will be recorded for the current project, and other projects that wish to use MKL for FFTs should also set that same preference. Note further that MKL provides only a subset of the functionality provided by FFTW.

Fast sequential, threaded, and distributed for-loops for Julia, fold for humans.FLoops.jl provides a macro @floop. It can be used to generate a fast generic sequential and parallel iteration over complex collections. Furthermore, the loop written in @floop can be executed with any compatible executors. See FoldsThreads.jl for various thread-based executors that are optimized for different kinds of loops. FoldsCUDA.jl provides an executor for GPU. FLoops.jl also provides a simple distributed executor.

Tools for analysis of fMRI data (formerly know as the SPM Toolbox).

FOX/VTK canvas widget and interactor to allow VTK to interact with your FOX application. Allows VTK to render inside a FOX application via the FXGLCanvas control. Keyboard and mouse events are translated to allow for "native" VTK functionality.

FRIDA (flexible rapid interactive data analysis) is a generic program for manipulating, fitting, and plotting x,z,y data. It is primarily aimed at spectral analysis, especially in neutron scattering. Note: project has moved away from sf.net.

The fst2v5d package converts data stored in the Canadian RPN Standard File (FST) format into Vis5D format. FST files, commonly used to store meteorological data, are scanned by fst2v5d to generate both 4D fields and independent topography input files.

Visualization of finite state machines as a network graph. Accepted input files at the moment are: net files exported from xfst (Xerox Finite-State Tool) and lexc files (Finite-State Lexicon Compiler).

Facelift is a visualization and analysis software for online social networking services. It displays a given community as a node-link diagram and provides several search / filtering functions as well as cluster analysis features.

The power of machine learning comes from its ability to learn patterns from large amounts of data. Understanding your data is critical to building a powerful machine learning system. Facets contains two robust visualizations to aid in understanding and analyzing machine learning datasets. Get a sense of the shape of each feature of your dataset using Facets Overview, or explore individual observations using Facets Dive. Explore Facets Overview and Facets Dive on the UCI Census Income dataset, used for predicting whether an individual’s income exceeds $50K/yr based on their census data. The census data contains features such as age, education level, and occupation for each individual. Overview gives users a quick understanding of the distribution of values across the features of their dataset(s). Uncover several uncommon and common issues such as unexpected feature values, missing feature values for a large number of observation, training/serving skew and train/test/validation set skew.

Have You ever wondered what would be like the weirdest Grand Theft Auto clone ever made? Well, we are pretty close with the FalansterCity3D urban environment rendering-engine where You can also drive the cars in the city. And moreover, it's a browser-game, so it runs instantly in any internet-browser. Why not try it directly at the link below? http://nerdofalgorithms.altervista.org/secondary_pages/page_11.php Even on smarthones or whatever, as long as it has a browser and sufficient CPU-speed. Whereas the CPU requirements are actually very low. And with some little sponsoring, this could also come to a full completion, leading to a mind-blowing product in little time. And also produce spin-offs like something similar, but written in C++, and featuring nice, textured OpenGL graphics, and even lower system requirements ; and even more... . Brought to You by Simon (alias ''the Nerd of Algorithms") If You thing You think You may become a sponsor for it's dev, let me know.

Fast Neurite Tracer (FNT) is a tool for semi-automated neurite tracing. FNT can handle big imaging data such as fMOST data. It can also process other types of light imaging data in general. FNT is designed to be * accurate in tracing (each tracing step needs your confirmation), * fast (operations using computer mouse is reduced with automatic searching), * scalable (large volume data of tera-bytes in size are supported). Other features include * the results can be exported to SWC files, * automatic detection of cycles during tracing, * support for data of multiple channels, * support for both 8-bit and 16-bit image data.

This projects hosts the worlds fastest algorithms for the labeling of point-features. It especially looks for algorithms thar are free of constraints, applicable to many scenarios (e.g., visualization, maps...) and do not need any preprocessing.

FastAI.jl is a Julia library for training state-of-the-art deep learning models. From loading datasets and creating data preprocessing pipelines to training, FastAI.jl takes the boilerplate out of deep learning projects. It equips you with reusable components for every part of your project while remaining customizable at every layer. FastAI.jl comes with support for common computer vision and tabular data learning tasks, with more to come.

Will be a C++ library for writing extensions for CAD applications, e.g., CADKey and AutoCAD. Could also be used as the native API for an opensource CAD program. Extensions written for any supported platform should be easily ported to another.