Showing 1 open source project for "java android"

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  • Solve Your Real-world Business Challenges From A Single Timesheet With Powerful Built In Integration Icon
    Solve Your Real-world Business Challenges From A Single Timesheet With Powerful Built In Integration

    Timecontrol Is Your Multipurpose Timesheet Software

    TimeControl is a multi-purpose timesheet system designed to serve both Finance and Project Management. TimeControl has been designed to serve many purposes simultaneously. TimeControl tracks time on a task-by-task, project-by-project basis. Yet, despite its project-based controls, it remains a financial timesheet with all the controls necessary to fulfill the stringent needs of payroll, human resources, billing and finance. TimeControl is available both for subscription in the cloud or for purchase for an on premise installation and includes both a browser interface and the free TimeControl Mobile App for iOS and Android devices.
    Learn More
  • BidJS enables online timed and webcast bidding on your own website. Icon
    BidJS enables online timed and webcast bidding on your own website.

    For companies wishing to sell by auction

    Bidlogix provide auction software to auction houses around the globe. We offer timed auction software, webcast auction software along with an optional invoicing management system. Our software is embedded on your site with fully customisable styling. Based in Brighton, UK Bidlogix started providing auction software in 2013. Our 2 in-house development teams are constantly evolving the product with in excess of 10 auctions per day being run using our software. Our software can cater for the largest of auctions, all in real-time and can support multiple languages.
    Get Started Now
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    KotlinDL

    KotlinDL

    High-level Deep Learning Framework written in Kotlin

    KotlinDL is a high-level Deep Learning API written in Kotlin and inspired by Keras. Under the hood, it uses TensorFlow Java API and ONNX Runtime API for Java. KotlinDL offers simple APIs for training deep learning models from scratch, importing existing Keras and ONNX models for inference, and leveraging transfer learning for tailoring existing pre-trained models to your tasks. This project aims to make Deep Learning easier for JVM and Android developers and simplify deploying deep learning models in production environments.
    Downloads: 3 This Week
    Last Update:
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