Showing 2 open source projects for "squeeze"

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  • Employee monitoring software with screenshots Icon
    Employee monitoring software with screenshots

    Clear visibility and insights into how employees work. Even remotely

    Our computer monitoring software allows employees, field contractors, and freelancers to manually clock in when they begin working on an assignment. The application will take screenshots randomly or at set intervals, which allows employers to observe the work process. The application only tracks activity when the employee is clocked in. No spying, only transparency.
  • The Secure Workspace for Remote Work Icon
    The Secure Workspace for Remote Work

    Venn isolates and protects work from any personal use on the same computer, whether BYO or company issued.

    Venn is a secure workspace for remote work that isolates and protects work from any personal use on the same computer. Work lives in a secure local enclave that is company controlled, where all data is encrypted and access is managed. Within the enclave – visually indicated by the Blue Border around these applications – business activity is walled off from anything that happens on the personal side. As a result, work and personal uses can now safely coexist on the same computer.
  • 1
    U-Net Fusion RFI

    U-Net Fusion RFI

    U-Net for RFI Detection based on @jakeret's implementation

    ... to this model for further experimentation, including Squeeze/Excitation layers (unimplemented.) Sum Threshold (in fusion as an expert, and in testing as a comparison) requires the use of AOFlagger by Andre Offringa. You can find this code at https://gitlab.com/aroffringa/aoflagger. This project will use the aoflagger program within the code, so you may need to ensure that any environment variables are set for aoflagger before use. cite: https://sourceforge.net/p/u-net-fusion-rfi/wiki/cite/
    Downloads: 0 This Week
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  • 2
    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. Squeeze the best data loading performance of Python with tensorpack.dataflow. Symbolic programming (e.g. tf.data) does not offer...
    Downloads: 0 This Week
    Last Update:
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