Showing 1037 open source projects for "data visualization, research"

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  • 1
    GtkDatabox3

    GtkDatabox3

    A GTK-3 widget to display data

    This project intended to be a backup replacement for GtkDatabox, but now we are contributing directly there.
    Downloads: 0 This Week
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  • 2
    Reproducible-research

    Reproducible-research

    A Reproducible Data Analysis Workflow with R Markdown, Git, Make, etc.

    In this tutorial, we describe a workflow to ensure long-term reproducibility of R-based data analyses. The workflow leverages established tools and practices from software engineering. It combines the benefits of various open-source software tools including R Markdown, Git, Make, and Docker, whose interplay ensures seamless integration of version management, dynamic report generation conforming to various journal styles, and full cross-platform and long-term computational reproducibility....
    Downloads: 1 This Week
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  • 3
    libPGF

    libPGF

    libPGF is an implementation of the Progressive Graphics File (PGF)

    The Progressive Graphics File (PGF) is an efficient image file format, that is based on a fast, discrete wavelet transform with progressive coding features. PGF can be used for lossless and lossy compression. It's most suitable for natural images. PGF can be used as a very efficient and fast replacement of JPEG 2000.
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    Downloads: 23 This Week
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  • 4
    CNN for Image Retrieval
    cnn-for-image-retrieval is a research-oriented project that demonstrates the use of convolutional neural networks (CNNs) for image retrieval tasks. The repository provides implementations of CNN-based methods to extract feature representations from images and use them for similarity-based retrieval. It focuses on applying deep learning techniques to improve upon traditional handcrafted descriptors by learning features directly from data.
    Downloads: 0 This Week
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  • 5

    mapska

    The Murder Accountability Project's Serial Killer Algorithm

    A much improved Linux/Perl implementation of the Murder Accountability Project's Serial Killer Algorithm. This module was tested with the "SHR76_19.csv" available from www.murderdata.org/p/data-docs.html. This module provides functions to prepare the data, upload to a database and view the identified clusters. Download SHR76_19.csv (23/03/2021) - https://www.dropbox.com/s/ye37woe6et05qgs/SHR76_19.csv.zip?dl=1 For information on this algorithm and the Murder Accountability Project...
    Downloads: 0 This Week
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  • 6
    To provide free solutions for the manipulation of Standard Test Data Format (STDF) files. Such solutions will first entail reading/writing of STDF files, with later solutions including statistical/visualization tools as demand dictates.
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    Downloads: 10 This Week
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  • 7
    OpenFrames

    OpenFrames

    Real-time interactive 3D graphics API for scientific simulations

    OpenFrames has moved its primary development repository to GitHub! Everything else will follow. Get it at https://github.com/ravidavi/OpenFrames/wiki OpenFrames is an Application Programming Interface (API) that allows developers to provides the ability to add interactive 3D graphics to any scientific simulation. A simulation developer can use OpenFrames to specify what they want to visualize, without having to know any details of computer graphics programming. OpenFrames is currently...
    Downloads: 0 This Week
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  • 8
    NLP Architect

    NLP Architect

    A model library for exploring state-of-the-art deep learning

    NLP Architect is an open-source Python library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing and Natural Language Understanding neural networks. The library includes our past and ongoing NLP research and development efforts as part of Intel AI Lab. NLP Architect is designed to be flexible for adding new models, neural network components, data handling methods, and for easy training and running models. NLP Architect is a model-oriented library designed to showcase novel and different neural network optimizations. The library contains NLP/NLU-related models per task, different neural network topologies (which are used in models), procedures for simplifying workflows in the library, pre-defined data processors and dataset loaders and misc utilities. ...
    Downloads: 0 This Week
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  • 9
    gradslam

    gradslam

    gradslam is an open source differentiable dense SLAM library

    gradslam is an open-source framework providing differentiable building blocks for simultaneous localization and mapping (SLAM) systems. We enable the usage of dense SLAM subsystems from the comfort of PyTorch. The question of “representation” is central in the context of dense simultaneous localization and mapping (SLAM). Newer learning-based approaches have the potential to leverage data or task performance to directly inform the choice of representation. However, learning representations...
    Downloads: 1 This Week
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  • 10

    eMatrix

    A C++ Matrix Library

    eMatrix is a lightweight matrix library developed in C++. EMatrix is designed to help solve engineering problems requiring linear algebra. eMatrix is OS independent and is fairly portable. New features include inv(A) and det(A).
    Downloads: 1 This Week
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  • 11
    bioweb

    bioweb

    polyglot language framework to analyze genetic data

    polyglot framework using Python/C++/JavaScript to fast develop applications to analyze biological sequences
    Downloads: 1 This Week
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  • 12
    Makani

    Makani

    Makani was developed a commercial-scale airborne wind turbine

    Makani was an ambitious Google X project that sought to harness wind energy using airborne wind turbines — autonomous kites capable of generating power while flying in crosswind patterns. This open-source repository contains the complete software stack that powered Makani’s research and flight systems, including the flight simulator, autopilot controller, avionics firmware, visualization tools, and ground control software. The software enables simulation, control, and analysis of the Makani M600 turbine system, designed to operate offshore and autonomously manage complex aerodynamic behaviors. Built primarily in C++ and Python, the codebase integrates real-time flight control, sensor fusion, aerodynamic modeling, and telemetry visualization. ...
    Downloads: 0 This Week
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  • 13
    LaTeXDraw

    LaTeXDraw

    Vector drawing program for LaTeX using PSTricks

    LaTeXDraw is a graphical drawing editor for LaTeX. LaTeXDraw can be used to 1) generate PSTricks code; 2) directly create PDF or PS pictures.
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    Downloads: 60 This Week
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  • 14
    Zipline

    Zipline

    Zipline, a Pythonic algorithmic trading library

    Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting. Zipline is currently used in production as the backtesting and live-trading engine powering Quantopian -- a free, community-centered, hosted platform for building and executing trading strategies. Quantopian also offers a fully managed service for professionals that includes Zipline, Alphalens, Pyfolio, FactSet data, and more. Installing Zipline is slightly more involved than the average Python...
    Downloads: 1 This Week
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  • 15
    Whole Platform
    The Whole Platform is a technology for engineering the production of software. We provide an Eclipse based Language Workbench for developing, manipulating and transforming languages using a model driven approach.
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    Downloads: 119 This Week
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  • 16
    Muze

    Muze

    Composable data visualisation library for web

    Muze is a composable data visualization library for the web that enables developers to create highly interactive and exploratory charts using a data-first design philosophy. Built around a layered Grammar of Graphics approach, it allows users to define visualizations declaratively by mapping data attributes to visual components such as axes, colors, and shapes.
    Downloads: 0 This Week
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  • 17
    Pretty Damn Quick (PDQ) analytically solves queueing network models of computer and manufacturing systems, data networks, etc., written in conventional programming languages. Generic or customized reports of predicted performance measures are output.
    Downloads: 0 This Week
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  • 18
    ebfformat

    ebfformat

    An Efficient Binary data Format

    EBF, which stands for Efficient Binary Format, is a binary file format for reading and writing binary data easily. Reading writing routines are currently available in C,C++,Fortran,Java, Python, IDL, MATLAB. A program called ebftkpy which has a set of utility functions to work with the .ebf files , e.g., viewing the contents and getting a summary, is also provided. The EBF specification is designed to be concise and easy to understand to make it easier for others to write their own code...
    Downloads: 4 This Week
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  • 19
    HyperGAN

    HyperGAN

    Composable GAN framework with api and user interface

    A composable GAN built for developers, researchers, and artists. HyperGAN builds generative adversarial networks in PyTorch and makes them easy to train and share. HyperGAN is currently in pre-release and open beta. Everyone will have different goals when using hypergan. HyperGAN is currently beta. We are still searching for a default cross-data-set configuration. Each of the examples supports search. Automated search can help find good configurations. If you are unsure, you can start with...
    Downloads: 0 This Week
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  • 20
    Tofu

    Tofu

    Tofu is a Python tool for generating synthetic UK Biobank data

    Tofu is a Python library for generating synthetic UK Biobank data. The UK Biobank is a large open-access prospective research cohort study of 500,000 middle-aged participants recruited in England, Scotland and Wales. The study has collected and continues to collect extensive phenotypic and genotypic detail about its participants, including data from questionnaires, physical measures, sample assays, accelerometry, multimodal imaging, genome-wide genotyping and longitudinal follow-up for a wide range of health-related outcomes. ...
    Downloads: 0 This Week
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  • 21
    PyCBC

    PyCBC

    Learn how to use PyCBC to analyze gravitational-wave data

    PyCBC is a software developed by a collaboration of LIGO, Virgo, and independent scientists. It is open source and freely available. We use PyCBC in the detection of gravitational waves from binary mergers such as GW150914. These examples explore how to analyze gravitational wave data, how we find potential signals and learn about them. Many of these tutorials will require you to make edits to config files as part of their exercises. At the moment this isn't easy to do on services like...
    Downloads: 0 This Week
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  • 22
    Nearley

    Nearley

    Simple, fast, powerful parser toolkit for JavaScript

    Nearley is a powerful and flexible parser generator for JavaScript, capable of parsing complex grammars and languages, making it suitable for building compilers, interpreters, and data processors.
    Downloads: 0 This Week
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  • 23
    Brand new cheatsheets and handouts

    Brand new cheatsheets and handouts

    Matplotlib 3.1 cheat sheet

    ...It lays out common use cases (plot types, styling, figure configuration, saving/exporting, subplot layout, etc.) in a concise and organized format — often serving as a “cheat sheet” for rapid look-up. For practitioners working on data-heavy projects, dashboards, or research code where plotting is frequent, it helps speed up development by reducing context-switching and documentation navigation overhead. It is especially useful when you know roughly what you want (e.g. “I need a scatter + histogram marginal plot”) but don’t remember the exact Matplotlib call.
    Downloads: 0 This Week
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  • 24
    Tao3D

    Tao3D

    Tao3D is a programming language for real-time interactive 3D

    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.
    Downloads: 0 This Week
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  • 25
    Tensor2Tensor

    Tensor2Tensor

    Library of deep learning models and datasets

    Deep Learning (DL) has enabled the rapid advancement of many useful technologies, such as machine translation, speech recognition and object detection. In the research community, one can find code open-sourced by the authors to help in replicating their results and further advancing deep learning. However, most of these DL systems use unique setups that require significant engineering effort and may only work for a specific problem or architecture, making it hard to run new experiments and...
    Downloads: 0 This Week
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