Showing 19 open source projects for "real"

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  • 1
    X's Recommendation Algorithm

    X's Recommendation Algorithm

    Source code for the X Recommendation Algorithm

    ...Written primarily in Scala, it shows the architecture of large-scale recommendation systems, including candidate sourcing, ranking, and heuristics. While certain components (such as safety layers, spam detection, or private data) are excluded, the release provides valuable insights into the design of real-world machine learning–driven ranking systems. The project is intended as a reference for researchers, developers, and the public to study, experiment with, and better understand the mechanisms behind social media content.
    Downloads: 2 This Week
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  • 2
    GNSS-SDR

    GNSS-SDR

    An open source software-defined GNSS receiver

    An open source software-defined Global Navigation Satellite Systems (GNSS) receiver written in C++ and based on the GNU Radio framework.
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    Downloads: 1,364 This Week
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  • 3
    dlib C++ Library
    Dlib is a C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems.
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    Downloads: 37 This Week
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  • 4
    Kalibr Allan

    Kalibr Allan

    IMU Allan standard deviation charts

    ...These plots are analyzed to determine noise density and random walk parameters for both gyroscopes and accelerometers. The repository also includes example data and plots from real sensors such as the XSENS MTI-G-700, Tango Yellowstone Tablet, and ASL-ETH VI-Sensor, providing reference points for interpretation.
    Downloads: 4 This Week
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  • 5

    LBSP

    Real-Time Processing Library for OSHW Biomedical Sensors

    Applications involving data acquisition from sensors need samples at a preset frequency rate, the filtering out of noise and/or analysis of certain frequency components. We propose a novel software architecture based on open-software hardware platforms which allows programmers to create data streams from input channels and easily implement filters and frequency analysis objects. The performances of the different classes given in the size of memory allocated and execution time (number of...
    Downloads: 0 This Week
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  • 6
    The Edge Machine Learning library

    The Edge Machine Learning library

    Machine learning algorithms for edge devices

    Machine learning models for edge devices need to have a small footprint in terms of storage, prediction latency, and energy. One instance of where such models are desirable is resource-scarce devices and sensors in the Internet of Things (IoT) setting. Making real-time predictions locally on IoT devices without connecting to the cloud requires models that fit in a few kilobytes.These algorithms can train models for classical supervised learning problems with memory requirements that are orders of magnitude lower than other modern ML algorithms. The trained models can be loaded onto edge devices such as IoT devices/sensors, and used to make fast and accurate predictions completely offline. ...
    Downloads: 0 This Week
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  • 7

    Distant Speech Recognition

    Beamforming and Speech Recognition Toolkit

    BTK contains C++ and Python libraries that implement speech processing and microphone array techniques such as speech feature extraction, speech enhancement, speaker tracking, beamforming, dereverberation and echo cancellation algorithms. The Millennium ASR provides C++ and python libraries for automatic speech recognition. The Millennium ASR implements a weighted finite state transducer (WFST) decoder, training and adaptation methods. These toolkits are meant for facilitating research and...
    Downloads: 0 This Week
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  • 8
    C++ Revenue Management Open Library
    That project (RMOL) aims at giving developers concerned by the Revenue Management arena a library delivering a reference implementation for most of the published algorithms and methods. That library is intended to be used in simulated environment: it does not intend to be used in real world production systems.
    Downloads: 9 This Week
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  • 9

    CUSHAW2: Parallel Gapped Read Alignment

    One of the leading short-/long-read aligner to large genomes

    CUSHAW2 is a fast and parallel gapped read alignment to large genomes, such as the human genome. The performance evaluation, by aligning simulated and real datasets to the human genome, shows that CUSHAW2 is consistently among the highest-ranked aligners in terms of alignment quality for both single-end and paired-end alignment, while demonstrating highly competitive speed. Furthermore, our aligner shows good parallel scalability with respect to the number of CPU threads.
    Downloads: 9 This Week
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  • 10
    Open Hacking GateWay Client Crypto

    Open Hacking GateWay Client Crypto

    Open Source HGWC's Encryption

    This anti-cheating software is used by S4 League client to interface and check in real time XTRAP's features and to report the logs to their remote servers. Details: HGWC Version: 57 Protocol Version: 7
    Downloads: 1 This Week
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  • 11

    ImpPath

    Simple C++ library for path manipulation

    ...All configurations understand ".." (parent directory) and "." (current directory) and handle them during normalization. However, this library never tries to access any real file systems, and thus doesn't know anything about symbolic links. Primarily designed for usage in a secure environment with known simple limitations. For example, for working with internal application resource paths referencing a "sandboxed" virtual filesystem (like with PhysicsFS). Platform-specific path support is mainly intended for tools (e.g. map editor) which need to share a common code base (and perhaps some hard-coded resources) with the main sandboxed application (e.g. game).
    Downloads: 0 This Week
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  • 12

    QRealFourier

    Qt-based FFT implementation

    A Qt library for Fast Fourier Transform (FFT) of real samples. Based on the FFTReal library.
    Downloads: 0 This Week
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  • 13

    libfgen

    Library for optimization using a genetic algorithm or particle swarms

    libfgen is a library that implements an efficient and customizable genetic algorithm (GA). It also provides particle swarm optimization (PSO) functionality and an interface for real-valued function minimization or model fitting. It is written in C, but can also be compiled with a C++ compiler. Both Linux and Windows are supported.
    Downloads: 0 This Week
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  • 14

    LBP in multiple platforms

    LBP implementation in multiple computing platforms (ARM,GPU, DSP...)

    ...This is a software toolbox that collects software implementations of the Local Binary Pattern operator in several platforms: - OpenCL for CPU & GPU - OpenCL for GPU (branchless) - C code optimized for ARM - OpenGL ES 2.0 shaders mobile GPUs - C code for TI C64x DSP core (branchless) - C code for TTA processor synthesis If you use the code somewhere, please cite: Bordallo López M., Nieto A., Boutellier J., Hannuksela J., and Silvén O. "Evaluation of real-time LBP computing in multiple architectures," Journal of Real Time Image Processing, 2014
    Downloads: 0 This Week
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  • 15
    Todbot is an AI addon to the gamestool virtual machine. The aim is to create an evolving neural network topology that should be capable of creating the optimal topology and network weighting to solve any problem given it.
    Downloads: 0 This Week
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  • 16
    Animants are virtual ants. Their name comes from the combination of "ants" and "animats", an animat being "a sofware approximation of a living creature". Animants aim to simulate the behaviour of living animals.
    Downloads: 0 This Week
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  • 17
    The first stage of development is do write a tool to anonymize packet capture files captured with libpcap. After that we will be integrating this with tcpdump to anonymize in real-time and analyze and look for its effect on different IDS's.
    Downloads: 0 This Week
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  • 18
    Machine learning toolkit for unsupervised and semi-supervised clustering that demonstrates excellent results on real-world data (see Bekkerman et al. ICML-2005 and ECML-2006).
    Downloads: 0 This Week
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  • 19
    Robot Warfare is a real-time strategy game that gives the user an opportunity to manage and program a team of battling robots that autonomously face opposing teams in a network-enabled environment.
    Downloads: 0 This Week
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