Showing 2 open source projects for "half"

View related business solutions
  • Email and SMS Marketing Software Icon
    Email and SMS Marketing Software

    Boost Sales. Grow Audiences. Reduce Workloads.

    Our intuitive email marketing software to help you save time and build lasting relationships with your subscribers.
  • Automated quote and proposal software for IT solution providers. | ConnectWise CPQ Icon
    Automated quote and proposal software for IT solution providers. | ConnectWise CPQ

    Create IT quote templates, automate workflows, add integrations & price catalogs to save time & reduce errors on manual data entry & updates.

    ConnectWise CPQ, formerly ConnectWise Sell, is a professional quote and proposal automation software for IT solution providers. ConnectWise CPQ offers a wide range of tools that enables IT solution providers to save time, quote more, and win big. Top features include professional quote or proposal templates, product catalog and sourcing, workflow automation, sales reporting, and integrations with best-in-breed solutions like Cisco, Dell, HP, and Salesforce.
  • 1
    InvokeAI

    InvokeAI

    InvokeAI is a leading creative engine for Stable Diffusion models

    .... InvokeAI offers an industry leading Web Interface, interactive Command Line Interface, and also serves as the foundation for multiple commercial products. This fork is supported across Linux, Windows and Macintosh. Linux users can use either an Nvidia-based card (with CUDA support) or an AMD card (using the ROCm driver). We do not recommend the GTX 1650 or 1660 series video cards. They are unable to run in half-precision mode and do not have sufficient VRAM to render 512x512 images.
    Downloads: 15 This Week
    Last Update:
    See Project
  • 2
    Machine Learning PyTorch Scikit-Learn

    Machine Learning PyTorch Scikit-Learn

    Code Repository for Machine Learning with PyTorch and Scikit-Learn

    ... this book covers in general, Iā€™d describe it as a comprehensive resource on the fundamental concepts of machine learning and deep learning. The first half of the book introduces readers to machine learning using scikit-learn, the defacto approach for working with tabular datasets. Then, the second half of this book focuses on deep learning, including applications to natural language processing and computer vision.
    Downloads: 54 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next