Showing 8 open source projects for "small"

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  • 1
    Stellarium

    Stellarium

    GPL software which renders realistic skies in real time

    Stellarium is a free GPL software which renders realistic skies in real time with OpenGL. It is available for Linux/Unix, Windows and macOS. With Stellarium, you really see what you can see with your eyes, binoculars or a small telescope. Stellarium is a free open source planetarium for your computer. It shows a realistic sky in 3D, just like what you see with the naked eye, binoculars or a telescope. Plugin system adding artifical satellites, ocular simulation, telescope control and more...
    Downloads: 57 This Week
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  • 2
    hubs-research-acm-chi-2021

    hubs-research-acm-chi-2021

    Supplemental code and dataset for the ACM CHI 2021 paper

    ... reduction. Recent advances, such as more open and widely available platforms, create new possibilities to observe and analyze interaction in VEs. Using a custom instrumented build of Mozilla Hubs to measure position and orientation, we conducted an academic workshop to facilitate a range of typical workshop activities. We analyzed social interactions during a keynote, small group breakouts, and informal networking/hallway conversations.
    Downloads: 0 This Week
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  • 3
    Data Science at the Command Line

    Data Science at the Command Line

    Data science at the command line

    Command Line by Jeroen Janssens, published by O’Reilly Media in October 2021. Obtain, scrub, explore, and model data with Unix Power Tools. This repository contains the full text, data, and scripts used in the second edition of the book Data Science at the Command Line by Jeroen Janssens. This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small yet powerful command...
    Downloads: 0 This Week
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  • 4
    Dopamine

    Dopamine

    Framework for prototyping of reinforcement learning algorithms

    Dopamine is a research framework for fast prototyping of reinforcement learning algorithms. It aims to fill the need for a small, easily grokked codebase in which users can freely experiment with wild ideas (speculative research). This first version focuses on supporting the state-of-the-art, single-GPU Rainbow agent (Hessel et al., 2018) applied to Atari 2600 game-playing (Bellemare et al., 2013). Specifically, our Rainbow agent implements the three components identified as most important...
    Downloads: 0 This Week
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  • 5
    Pascal NUCLEUS (GUI/VM)

    Pascal NUCLEUS (GUI/VM)

    Portable Pascal GUI Library for Atari ST/TT/MSDOS

    NOTE: As of r816, Nucleus source code is licensed under GPLv3. (8th Oct 2017) Nu|cleus [ˈnjuːklɪəs] - The central and most important part of an object, movement, or group, forming the basis for its activity and growth. This is yet another long-term project (YALP?). The aim is to write a portable GUI/OS for Atari ST, Amiga and DOS. The code must be small, fast and support modern GUI features. ie: Embedded component controls. The code current compiles with Highspeed Pascal (Atari ST...
    Downloads: 0 This Week
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  • 6
    DaNNet

    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.
    Downloads: 0 This Week
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  • 7
    Bibliograph

    Bibliograph

    Open Source Online Bibliographic Data Management

    Bibliograph is a powerful and intuitive open source web application for the collaborative collection, editing and publishing of bibliographic data such as a bibliographies, small library collections or shared research data. It features a modern user interface similar to a desktop application.
    Downloads: 1 This Week
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  • 8
    Bat2015

    Bat2015

    Bachelor of Science (Informatik)

    ... in a network as you want. With a focus on the MILP methods we implement a load balancing and speed up the solving process in a multiplicative way. Sometimes we have super-linear speedup with a small set of hardware. With a splitting of problems, parallel computing and distributing the actual best solution to all running processes we solve CBP much faster than a sequential processing can do.
    Downloads: 0 This Week
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