Showing 2 open source projects for "there is no way to"

View related business solutions
  • Payroll Services for Small Businesses | QuickBooks Icon
    Payroll Services for Small Businesses | QuickBooks

    Save 50% off for 3 months with QuickBooks Payroll when you Buy Now

    Easily pay your team and access powerful tools, employee benefits, and supportive experts with the #1 online payroll service provider. Manage payroll and access HR and employee services in one place. Pay your team automatically once your payroll setup is complete. We'll calculate, file, and pay your payroll taxes automatically.
    Learn More
  • Our Free Plans just got better! | Auth0 by Okta Icon
    Our Free Plans just got better! | Auth0 by Okta

    With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

    You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your secuirty. Auth0 now, thank yourself later.
    Try free now
  • 1
    Acharya

    Acharya

    A Data Centric annotation tool for your Named Entity Recognition

    A data-centric annotation tool to increase the accuracy of your Named Entity Recognition projects which helps rapidly identify and fix labeling errors in your dataset. Import/export datasets in multiple formats, train a model and use it to aid in the annotation process. Setup an MLOps pipeline to experiment with different algorithms on the same data and increase their accuracy and performance in a data-centric way. Installation and Setup for Acharya are not required, Acharya runs the initial...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Lightly

    Lightly

    A python library for self-supervised learning on images

    ... through advanced filtering. We provide PyTorch, PyTorch Lightning and PyTorch Lightning distributed examples for each of the models to kickstart your project. Lightly requires Python 3.6+ but we recommend using Python 3.7+. We recommend installing Lightly in a Linux or OSX environment. With lightly, you can use the latest self-supervised learning methods in a modular way using the full power of PyTorch. Experiment with different backbones, models, and loss functions.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next