Showing 2 open source projects for "python package"

View related business solutions
  • DataHub is the leading open-source data catalog helping teams discover, understand, and govern their data assets. Icon
    DataHub is the leading open-source data catalog helping teams discover, understand, and govern their data assets.

    Modern Data Catalog and Metadata Platform

    Built on an open source foundation with a thriving community of 13,000+ members, DataHub gives you unmatched flexibility to customize and extend without vendor lock-in. DataHub Cloud is a modern metadata platform with REST and GraphQL APIs that optimize performance for complex queries, essential for AI-ready data management and ML lifecycle support.
    Learn More
  • Secure Cloud Storage for Files, Photos and Documents | pCloud Icon
    Secure Cloud Storage for Files, Photos and Documents | pCloud

    Store, access, and manage your files on your own terms, from anywhere.

    Store, sync, and share your files securely with pCloud. Get up to 10 GB of free secure cloud storage and access your files from any device, anywhere.
    Learn More
  • 1
    Turi Create

    Turi Create

    Simplifies the development of custom machine learning models

    ...If you want your app to recognize specific objects in images, you can build your own model with just a few lines of code. Turi Create supports macOS 10.12+, Linux (with glibc 2.10+), Windows 10 (via WSL). Turi Create requires Python 2.7, 3.5, 3.6, 3.7, 3.8. Also, x86_64 architecture, and at least 4 GB of RAM. We recommend using virtualenv to use, install, or build Turi Create. The package User Guide and API Docs contain more details on how to use Turi Create. If you want to build Turi Create from source, see BUILD.md. Turi Create does not require a GPU, but certain models can be accelerated 9-13x by utilizing a GPU.
    Downloads: 15 This Week
    Last Update:
    See Project
  • 2
    DETR

    DETR

    End-to-end object detection with transformers

    PyTorch training code and pretrained models for DETR (DEtection TRansformer). We replace the full complex hand-crafted object detection pipeline with a Transformer, and match Faster R-CNN with a ResNet-50, obtaining 42 AP on COCO using half the computation power (FLOPs) and the same number of parameters. Inference in 50 lines of PyTorch. What it is. Unlike traditional computer vision techniques, DETR approaches object detection as a direct set prediction problem. It consists of a set-based...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB