Scientific Software

Make your own quadrille, graph, hex, etc. graph paper. Uses the pgf/TikZ package for LaTeX, which should be part of any modern TeX installation.

Rumint (room-int) is an open source network and security data visualization tool. You can use it to capture and visualize live network traffic.

Shadertoy is the first application to allow developers all over the globe to push pixels from code to screen using WebGL since 2009.

This website is the natural evolution of that original idea. On one hand, it has been rebuilt in order to provide the computer graphics developers and hobbyists with a great platform to prototype, experiment, teach, learn, inspire and share their creations with the community. On the other, the expressiveness of the shaders has arisen by allowing different types of inputs such as video, webcam or sound.

This project seeks to develop tools for preserving environmental data that is endangered by the incoming US anti-science administration. The project is led by the Environmental Data and Governance Initiative (EDGI), an international network of academics and non-profits that believes in evidence-based policy making and public interest science.

A gallery comparing colorschemes from stylesheets defined in Python Matplotlib with source code available on github..

I was recently trying various outlier detection algorithms. For me, the best way to understand an algorithm is to tinker with it. I built a shiny app that allows you to play around with various outlier algorithms and wanted to share it with everyone.

The shiny app is available on my site, but even better, the code is on github for you to run locally or improve! Let me give you a quick tour of the app in this post. If you prefer, I have also posted a video that provides background on the app. Another tutorial how to build a interactive web apps with shiny is published at DataScience+.

An online app whereyou can tinker with a neural network in your browser. It makes a great tool for becoming familiar with how neural networks work. Created by Daniel Smilkov and Shan Carter and available for download on github.

NodeXL Basic and NodeXL Pro are add-ins for Microsoft® Excel® (2007, 2010, 2013, 2016) that support social network and content analysis. NodeXL Basic is available freely and openly to all. It is positioned as a browser for files created with NodeXL Pro which offers advanced features for professional social network and content analysis. NodeXL is a project from the Social Media Research Foundation and receives generous support from users of NodeXL.

This is a complete list of all available rOpenSci R packages. Packages are grouped by ones that acquire data, full-text of journal articles, altmetrics, data publication, focus on scalable and reproducibile computing, data visualization, data tools, image processing, taxonomy, HTTP tools, data analysis or geospatial work.

Bl.ocks (pronounced “Blocks”) is a simple viewer for sharing data visualization code examples hosted on GitHub Gist created and run by Mike Bostock. The main source for your example is in index.html. This file can contain relative links to other files in your Gist, such as images, scripts or stylesheets. And of course you can use absolute links, such as CDN-hosted D3, jQuery or Leaflet. To explain your example, add a README.md written in Markdown. (You can omit the index.html if you just want to write, too.)

The Multiphysics Object-Oriented Simulation Environment (MOOSE) is a finite-element, multiphysics framework primarily developed by Idaho National Laboratory. It provides a high-level interface to some of the most sophisticated nonlinear solver technology on the planet. MOOSE presents a straightforward API that aligns well with the real-world problems scientists and engineers need to tackle. Every detail about how an engineer interacts with MOOSE has been thought through, from the installation process through running your simulation on state of the art supercomputers, the MOOSE system will accelerate your research.

PyTorch is a python package that provides tensor computation (like numpy) with strong GPU acceleration and deep neural networks built on a tape-based autograd system. PyTorch also works with numpy (ndarray), scipy and Cython.

MODL is a Python package that allows one to perform sparse / dense matrix factorization on fully-observed/missing data very efficiently, by leveraging random sampling with online learning. It is able to factorize matrices of terabyte scale with hundreds of components in the latent space in a few hours. The package implements two papers by Mensch et al. 2016, 2017.

DyNet (formerly known as cnn) is a neural network library developed by Carnegie Mellon University and many others. It is written in C++ (with bindings in Python) and is designed to be efficient when run on either CPU or GPU, and to work well with networks that have dynamic structures that change for every training instance. For example, these kinds of networks are particularly important in natural language processing tasks, and DyNet has been used to build state-of-the-art systems for syntactic parsing, machine translation, morphological inflection, and many other application areas.

The Stanford NLP Group makes some of our Natural Language Processing software available to everyone! We provide statistical NLP, deep learning NLP, and rule-based NLP tools for major computational linguistics problems, which can be incorporated into applications with human language technology needs. These packages are widely used in industry, academia, and government.

The Geoparser is a software tool that can process information from any type of file, extract geographic coordinates, and visualize locations on a map. Users who are interested in seeing a geographical representation of information or data can choose to search for locations using the Geoparser, through a search index or by uploading files from their computer. The Geoparser will parse the files and visualizes cities or latitude-longitude points on the map. After the information is parsed and points are plotted on the map, users are able to filter their results by density, or by searching a key word and applying a "facet" to the parsed information. On the map, users can click on location points to reveal more information about the location and how it is related to their search.

Open Science Framework is an online project management tool for open scientific research. It is designed to be a scholarly commons to connect the entire research cycle, including file, data, and team management. The platform is free and is developed and managed by the non-profit Center for Open Science.

CivilServant software supports communities on reddit to conduct your own A/B tests on the effects of moderation practices, and share those results to an open repository of moderation experiments. The CivilServant software is available under the MIT License, a permissive open source license.

Magenta is a Google Brain project to ask and answer the questions, “Can we use machine learning to create compelling art and music? If so, how? If not, why not?” Our work is done in TensorFlow, and we regularly release our models and tools in open source. These are accompanied by demos, tutorial blog postings and technical papers. To follow our progress, watch our GitHub and join our discussion group.

The Sonification Sandbox is a project of the Psychology Department's Sonification Lab at Georgia Institute of Technology, overseen by Bruce Walker, PhD. Motivated by a need for a simple, multi-platform, multi-purpose toolkit for sonifying data, the Sonification Sandbox allows the user to map data to multiple auditory parameters and add context using a graphical interface.

Data can be imported from CSV files (which can be created in MS Excel, for example), and manipulated/edited in a spreadsheet. The mapping between the data and the visual and auditory graphs can be changed in many ways. Visual and auditory renderings of the data are available, and the visual and auditory graphs can be exported as images, data files, audio files, and even multimodal QuickTime movie files, in a range of file formats.