Showing 9 open source projects for "netfilter-layer"

View related business solutions
  • Easily Host LLMs and Web Apps on Cloud Run Icon
    Easily Host LLMs and Web Apps on Cloud Run

    Run everything from popular models with on-demand NVIDIA L4 GPUs to web apps without infrastructure management.

    Run frontend and backend services, batch jobs, host LLMs, and queue processing workloads without the need to manage infrastructure. Cloud Run gives you on-demand GPU access for hosting LLMs and running real-time AI—with 5-second cold starts and automatic scale-to-zero so you only pay for actual usage. New customers get $300 in free credit to start.
    Try Cloud Run Free
  • Run Any Workload on Compute Engine VMs Icon
    Run Any Workload on Compute Engine VMs

    From dev environments to AI training, choose preset or custom VMs with 1–96 vCPUs and industry-leading 99.95% uptime SLA.

    Compute Engine delivers high-performance virtual machines for web apps, databases, containers, and AI workloads. Choose from general-purpose, compute-optimized, or GPU/TPU-accelerated machine types—or build custom VMs to match your exact specs. With live migration and automatic failover, your workloads stay online. New customers get $300 in free credits.
    Try Compute Engine
  • 1
    CAM

    CAM

    Class Activation Mapping

    This repository implements Class Activation Mapping (CAM), a technique to expose the implicit attention of convolutional neural networks by generating heatmaps that highlight the most discriminative image regions influencing a network’s class prediction. The method involves modifying a CNN model slightly (e.g., using global average pooling before the final layer) to produce a weighted combination of feature maps as the class activation map. Integration with existing CNNs (with light modifications). Sample scripts/examples using standard architectures. The repo provides example code and instructions for applying CAM to existing CNN architectures. Visualization of discriminative regions per class.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2

    lpACLib

    An Open-Source Library for Low-Power Approximate Computing Modules

    ...This open-source library facilitates research and development in approximate computing at higher abstraction levels, and to facilitate reproducible research and comparisons. In case of usage, please refer to our publication: Muhammad Shafique, Rehan Hafiz, Semeen Rehman, Walaa El-Harouni, Jörg Henkel, "Cross-Layer Approximate Computing: From Logic to Architectures", Design Automation Conference (DAC), 2016. Contributors: Authors, Vanshika Baoni, M. Abdullah Hanif http://ces.itec.kit.edu/lpACLib.php
    Downloads: 1 This Week
    Last Update:
    See Project
  • 3
    CRFasRNN

    CRFasRNN

    Semantic image segmentation method described in the ICCV 2015 paper

    ...This software allows you to test our algorithm on your own images – have a try and see if you can fool it, if you get some good examples you can send them to us. CRF-RNN has been developed as a custom Caffe layer named MultiStageMeanfieldLayer. Usage of this layer in the model definition prototxt file looks the following. Check the matlab-scripts or the python-scripts folder for more detailed examples.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    Netvlad

    Netvlad

    NetVLAD: CNN architecture for weakly supervised place recognition

    NetVLAD is a deep learning-based image descriptor framework developed by Relja Arandjelović for place recognition and image retrieval. It extends standard CNNs with a trainable VLAD (Vector of Locally Aggregated Descriptors) layer to create compact, robust global descriptors from image features. This implementation includes training code and pretrained models using the Pittsburgh and Tokyo datasets.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Managed MySQL, PostgreSQL, and SQL Databases on Google Cloud Icon
    Managed MySQL, PostgreSQL, and SQL Databases on Google Cloud

    Get back to your application and leave the database to us. Cloud SQL automatically handles backups, replication, and scaling.

    Cloud SQL is a fully managed relational database for MySQL, PostgreSQL, and SQL Server. We handle patching, backups, replication, encryption, and failover—so you can focus on your app. Migrate from on-prem or other clouds with free Database Migration Service. IDC found customers achieved 246% ROI. New customers get $300 in credits plus a 30-day free trial.
    Try Cloud SQL Free
  • 5

    Folder

    Toolbox for modelling deformation in layered media in 2D

    ...Folder contains a separate application, which illustrates analytical solutions of growth rate spectra for buckling and necking of a single viscous layer. Check out the companion paper: doi:10.1016/j.jsg.2016.01.001
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    Fast and multi platform reader of network traces, have possible to shared date in screen, file or Matlab
    Downloads: 0 This Week
    Last Update:
    See Project
  • 7
    PeterHi is an initiative to provide a set of tools for education based on your existing IT infrastructure.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 8
    primeHandle is a set of data management tools in support of the PrIMe Initiative (http://primekinetics.org). primeHandle includes graphical user interfaces for searching through data collections, editing and submitting data to the PrIMe Data Depository.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 9
    mYm is a Matlab interface to MySQL server. It is based on the original 'MySQL and Matlab' by Robert Almgren and adds the support for BLOBs. That is, it can insert matlab objects (e.g. array, structure, cell) into BLOB fields.
    Downloads: 1 This Week
    Last Update:
    See Project
  • AI-powered service management for IT and enterprise teams Icon
    AI-powered service management for IT and enterprise teams

    Enterprise-grade ITSM, for every business

    Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
    Try it Free
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB