Showing 1687 open source projects for "network"

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  • 1
    IDEA (Text Data Visualizer)

    IDEA (Text Data Visualizer)

    Text Data Visualizer with Django

    It is hard for non-developer to visualize data. But if you use IDEA, you can visualize data easily. If you want to test Project: IDEA locally on your environment, you require mecab-ko and mecab-ko-dic. If you have some data which you want to visualize, just put it in IDEA. Then click the Visualization button!
    Downloads: 0 This Week
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  • 2

    ArtnetScanner

    Network Analyzer for lighting protocols

    Beta package released! Network Analyzer for lighting protocols like Art-Net, ACN, MA-Net and Compu-Net. Allows to display DMX data and discovers connected Desks
    Downloads: 2 This Week
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  • 3
    Easy-TensorFlow

    Easy-TensorFlow

    Simple and comprehensive tutorials in TensorFlow

    ...Furthermore, since most of the developers are using TensorFlow for code development, having hands-on on TensorFlow is a necessity these days. Tensorboard is a powerful visualization suite that is developed to track both the network topology and performance, making debugging even simpler.
    Downloads: 0 This Week
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  • 4
    This program is an email antivirus/antispam gateway. It is an interface to the postfix or sendmail (or any other smtpd), which runs antivirus and/or spamchecker. Its modular architecture can use any combination of antivirus/spamchecker according to co
    Downloads: 0 This Week
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  • AestheticsPro Medical Spa Software Icon
    AestheticsPro Medical Spa Software

    Our new software release will dramatically improve your medspa business performance while enhancing the customer experience

    AestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
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  • 5
    howmanypeoplearearound

    howmanypeoplearearound

    Count the number of people around you by monitoring wifi signals

    howmanypeoplearearound calculates the number of people in the vicinity using the approximate number of smartphones as a proxy (since ~70% of people have smartphones nowadays). A cellphone is determined to be in proximity to the computer based on sniffing WiFi probe requests. Possible uses of howmanypeoplearearound include, monitoring foot traffic in your house with Raspberry Pis, seeing if your roommates are home, etc. There are a number of possible USB WiFi adapters that support monitor...
    Downloads: 0 This Week
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  • 6
    Video Nonlocal Net

    Video Nonlocal Net

    Non-local Neural Networks for Video Classification

    video-nonlocal-net implements Non-local Neural Networks for video understanding, adding long-range dependency modeling to 2D/3D ConvNet backbones. Non-local blocks compute attention-like responses across all positions in space-time, allowing a feature at one frame and location to aggregate information from distant frames and regions. This formulation improves action recognition and spatiotemporal reasoning, especially for classes requiring context beyond short temporal windows. The repo...
    Downloads: 0 This Week
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  • 7
    brother_ql

    brother_ql

    Python package for raster language protocol of the Brother QL series

    ...They can be created from image files or programmatically in your own Python script. Print raster instruction files with your Brother label printer via different backends pyusb (works cross-platform) network (works cross-platform for WiFi/Ethernet-enabled printers) linux_kernel (works on Linux only; uses the /dev/usb/lp0 device handles) If your printer has an 'Editor Lite' mode, you need to disable it if you want to print via USB. Make sure that the corresponding LED is not lit by holding the button down until it turns off. The special feature of this package is that no printer driver is required for it to work.
    Downloads: 3 This Week
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  • 8
    Tensorpack

    Tensorpack

    A Neural Net Training Interface on TensorFlow, with focus on speed

    Tensorpack is a neural network training interface based on TensorFlow v1. Uses TensorFlow in the efficient way with no extra overhead. On common CNNs, it runs training 1.2~5x faster than the equivalent Keras code. Your training can probably gets faster if written with Tensorpack. Scalable data-parallel multi-GPU / distributed training strategy is off-the-shelf to use.
    Downloads: 0 This Week
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  • 9
    Raven Python

    Raven Python

    Raven is the legacy Python client for Sentry

    Raven is the official legacy Python client for Sentry, officially supports Python 2.6–2.7 & 3.3–3.7, and runs on PyPy and Google App Engine. It tracks errors and exceptions that happen during the execution of your application and provides instant notification with detailed information needed to prioritize, identify, reproduce, and fix each issue. It provides full out-of-the-box support for many of the popular Python frameworks, including Django, and Flask. Raven also includes drop-in support...
    Downloads: 3 This Week
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  • The Most Powerful Software Platform for EHSQ and ESG Management Icon
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  • 10
    JPykotaGUI

    JPykotaGUI

    Interface gráfica para PyKota / Graphical interface for PyKota

    Projeto destinado a ser uma interface gráfica web para o software de controle de impressão PyKota (www.pykota.com). Não possui vinculo algum com projeto oficial. Para novas instalações com Ubuntu 12.04 server use o script install.sh. -- Para FreeBSD veja https://www.vivaolinux.com.br/artigo/Configurando-o-FreeBSD-e-PyKota-para-receber-o-JPyKotaGUI/?pagina=5 https://sourceforge.net/projects/jpykotagui-freebsd/ -- Project to be a GUI for the print control software PyKota...
    Downloads: 0 This Week
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  • 11
    LabelImg

    LabelImg

    Graphical image annotation tool and label object bounding boxes

    LabelImg is a graphical image annotation tool. It is written in Python and uses Qt for its graphical interface. Annotations are saved as XML files in PASCAL VOC format, the format used by ImageNet. Besides, it also supports YOLO and CreateML formats. Linux/Ubuntu/Mac requires at least Python 2.6 and has been tested with PyQt 4.8. However, Python 3 or above and PyQt5 are strongly recommended. Virtualenv can avoid a lot of the QT / Python version issues. Build and launch using the...
    Downloads: 114 This Week
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  • 12

    Arabic Corpus

    Text categorization, arabic language processing, language modeling

    The Arabic Corpus {compiled by Dr. Mourad Abbas ( http://sites.google.com/site/mouradabbas9/corpora ) The corpus Khaleej-2004 contains 5690 documents. It is divided to 4 topics (categories). The corpus Watan-2004 contains 20291 documents organized in 6 topics (categories). Researchers who use these two corpora would mention the two main references: (1) For Watan-2004 corpus ---------------------- M. Abbas, K. Smaili, D. Berkani, (2011) Evaluation of Topic Identification Methods on...
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    Downloads: 3 This Week
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  • 13

    coNCePTuaL

    DSL for writing communication benchmarks

    coNCePTuaL is a toolset for rapidly generating portable, readable, and reproducible network-performance tests. coNCePTuaL can perform the equivalent of many pages of C code with just a few mouse clicks or lines of code in a domain-specific language.
    Downloads: 0 This Week
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  • 14
    Bots open source edi translator

    Bots open source edi translator

    Bots is a complete translator for edi: edifact, x12, xml, tradacoms

    Bots is a complete translator for edi (Electronic Data Interchange). EDI data formats eg: edifact, x12, tradacoms, xml. Mail: http://groups.google.com/group/botsmail Web-site: http://bots.sourceforge.net Wiki: http://bots.readthedocs.io Develop: https://github.com/eppye-bots/bots
    Downloads: 30 This Week
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  • 15
    InfoGAN

    InfoGAN

    Code for reproducing key results in the paper

    The InfoGAN repository contains the original implementation used to reproduce the results in the paper “InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets”. InfoGAN is a variant of the GAN (Generative Adversarial Network) architecture that aims to learn disentangled and interpretable latent representations by maximizing the mutual information between a subset of the latent codes and the generated outputs. That extra incentive encourages the generator to structure its latent space in a way where certain latent variables control meaningful, distinct factors (e.g. rotation, width, stroke thickness) in the output images. ...
    Downloads: 0 This Week
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  • 16
    PyGtk Posting

    PyGtk Posting

    Accounting for Linux

    An accounting software written in Python and Gtk+ 3 with a backend of Postgresql. A free and open source alternative to Quickbooks and Peachtree. This software is usable but needs to be fleshed out.
    Downloads: 0 This Week
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  • 17
    RouterSploit

    RouterSploit

    Exploitation Framework for Embedded Devices

    RouterSploit is an open-source exploitation framework focused on embedded devices such as routers, cameras, and IoT gadgets. It offers modules for exploits, scanners, and credentials testing, making it a valuable tool for security professionals and researchers. Inspired by Metasploit, it provides a CLI for executing attacks, testing device vulnerabilities, and simulating real-world exploitation scenarios in a legal and ethical manner.
    Downloads: 15 This Week
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  • 18
    SFD

    SFD

    S³FD: Single Shot Scale-invariant Face Detector, ICCV, 2017

    S³FD (Single Shot Scale-invariant Face Detector) is a real-time face detection framework designed to handle faces of various sizes with high accuracy using a single deep neural network. Developed by Shifeng Zhang, S³FD introduces a scale-compensation anchor matching strategy and enhanced detection architecture that makes it especially effective for detecting small faces—a long-standing challenge in face detection research. The project builds upon the SSD framework in Caffe, with modifications tailored for face detection tasks. ...
    Downloads: 0 This Week
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  • 19

    wxPi

    A simple local weather recorder for Raspberry Pi ZeroW

    An expandable networked weather recorder hosted on Raspberry Pi ZeroW, with associated sensor hardware.
    Downloads: 0 This Week
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  • 20
    myHouse

    myHouse

    Home monitoring and automation suite now known as eGeoffrey

    PLEASE NOTE: myHouse has been a nice starting point but difficult to customize, maintain and evolve. For these and many other reasons, I've completely re-designed- re-architect myHouse also giving it a new name (eGeoffrey). The basic principles are the same, the software is still open source but now is supposed to be way simpler to configure (entirely via the web interface), use, customize and extend. If you want to give it a look, check out https://www.egeoffrey.com. I've also put...
    Downloads: 0 This Week
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  • 21
    Downloads: 0 This Week
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  • 22
    WhatsappToDesktop

    WhatsappToDesktop

    Esse é um pacote de compilado do Whatsapp Web versão 1.0.

    Esse é um pacote de compilado do Whatsapp Web versão 1.0. Esse é um aplicativo multiplataforma de mensagens instantâneas e chamadas de voz para smartphones. Além de mensagens de texto, os usuários podem enviar vídeos, vídeos e documentos em formato PDF, além de fazer a livre conexão com o meio de uma conexão com internet ...
    Downloads: 0 This Week
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  • 23
    devicesinlan

    devicesinlan

    Show devices in a lan

    Show devices in a lan. You can enter your known devices, in order to detect strange devices.
    Downloads: 4 This Week
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  • 24
    didyoureadme

    didyoureadme

    System to control who and when a group reads a document send by mail

    System to control who and when a group reads a document send by mail. It uses postgresql to store information .
    Downloads: 0 This Week
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  • 25
    Mixup-CIFAR10

    Mixup-CIFAR10

    mixup: Beyond Empirical Risk Minimization

    mixup-cifar10 is the official PyTorch implementation of “mixup: Beyond Empirical Risk Minimization” (Zhang et al., ICLR 2018), a foundational paper introducing mixup, a simple yet powerful data augmentation technique for training deep neural networks. The core idea of mixup is to generate synthetic training examples by taking convex combinations of pairs of input samples and their labels. By interpolating both data and labels, the model learns smoother decision boundaries and becomes more...
    Downloads: 0 This Week
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