Search Results for "data visualization, research"

Julia is a fast, open source high-performance dynamic language for technical computing. It can be used for data visualization and plotting, deep learning, machine learning, scientific computing, parallel computing and so much more. Having a high level syntax, Julia is easy to use for programmers of every level and background. Julia has more than 2,800 community-registered packages including various mathematical libraries, data manipulation tools, and packages for general purpose computing. ...

ALCHA aims to reduce FPGA project develop time by means of automation and abstraction, but without loosing the low-level control that HDLs, such as Verilog, provides. It will support an object oriented programming model, abstract data and signal types, and compile-time scripting.

JSchemePlus is an hack of Jscheme 1.4 by Peter Norvig. It allows to redistribute a script in an executable JAR file of only ~40K and implements all of R4RS with a lot of additional functions, like: (execute command) (random) (sequence from up-to step) (split list element) (string-split string sub-string) (read-all-from-file file) (write-to-file file data) (file-size file) etc... For the complete list read the HELP file or type (help). JSchemePlus needs only the Java Virtual Machine (version...

The Ring is a practical general-purpose multi-paradigm language. The supported programming paradigms are imperative, procedural, object-oriented, declarative using nested structures, functional, meta programming and natural programming. The language is portable (MS-DOS, Windows, Linux, macOS, Android, WebAssembly, Microcontrollers, etc.) and can be used to create Console, GUI, Web, Games and Mobile applications. The language is designed to be simple, small and flexible. Ring is...

Tao3D is a programming language for real-time interactive 3D. It lets you easily create dynamic, interactive, data-rich presentations, small applications, user interface concepts, and more.

A library for probabilistic modeling, inference, and criticism. Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields, Bayesian statistics and machine learning, deep learning, and probabilistic programming. Edward is built on TensorFlow. It enables features such as computational graphs, distributed training, CPU/GPU integration, automatic differentiation, and visualization with TensorBoard. ...