Showing 2 open source projects for "ai deep learning"

View related business solutions
  • Secure remote access solution to your private network, in the cloud or on-prem. Icon
    Secure remote access solution to your private network, in the cloud or on-prem.

    Deliver secure remote access with OpenVPN.

    OpenVPN is here to bring simple, flexible, and cost-effective secure remote access to companies of all sizes, regardless of where their resources are located.
    Get started — no credit card required.
  • Monitor the status and performance of any IT environment with NMIS Icon
    Monitor the status and performance of any IT environment with NMIS

    NMIS monitors an organization’s IT environment, helps identify and rectify faults, and provides valuable information for IT planning.

    Trusted by thousands of IT teams worldwide, The NMIS platform offers comprehensive network management, handling faults, performance, and configurations with ease.
    Get a Free Trial
  • 1
    DeepDetect

    DeepDetect

    Deep Learning API and Server in C++14 support for Caffe, PyTorch

    The core idea is to remove the error sources and difficulties of Deep Learning applications by providing a safe haven of commoditized practices, all available as a single core. While the Open Source Deep Learning Server is the core element, with REST API, and multi-platform support that allows training & inference everywhere, the Deep Learning Platform allows higher level management for training neural network models and using them as if they were simple code snippets. Ready for applications...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    TNN

    TNN

    Uniform deep learning inference framework for mobile

    ... mainstream open source frameworks, and expands the support for X86 and NV GPUs. On the mobile phone, TNN has been used by many applications such as mobile QQ, weishi, and Pitu. As a basic acceleration framework for Tencent Cloud AI, TNN has provided acceleration support for the implementation of many businesses. Everyone is welcome to participate in the collaborative construction to promote the further improvement of the TNN inference framework.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next