Showing 2 open source projects for "python 2.4"

View related business solutions
  • Dynamic Work and Complex Project Management Platform | Quickbase Icon
    Dynamic Work and Complex Project Management Platform | Quickbase

    Quickbase is the leading application platform for dynamic work.

    Our no-code platform lets you easily create, connect, and customize enterprise applications that fix visibility and workflow gaps without replacing a single system.
    Learn More
  • Non Emergency Medical Transportation (NEMT) Software Icon
    Non Emergency Medical Transportation (NEMT) Software

    Healthcare providers in search of a scheduling and dispatch solution for non emergency medical transportation

    NovusMED is an ecosystem that includes call center, administrative, driver applications, and client/clinic booking applications. NovusMED is the platform of choice for a wide range of medical transportation services and includes configurations for brokerage, providers, senior, community, and home health programs. Accurately manage calls and patient information. Monitor real-time performance and adjust resource capacity to meet changes in service demand. Manage will calls, confirmation calls, and recurring trips/standing orders in real time. Improved mileage reimbursement and cost calculators to manage multiple contractors, funding sources (payors), multiple providers, and volunteer driver programs. Enhanced credential management for vehicles and drivers. Manage subcontractor outsourcing with provider mobile, trip bidding, and trip offers. Able to see the closest vehicle and perform immediate bookings.
    Learn More
  • 1
    GPflow

    GPflow

    Gaussian processes in TensorFlow

    GPflow is a package for building Gaussian process models in Python. It implements modern Gaussian process inference for composable kernels and likelihoods. GPflow builds on TensorFlow 2.4+ and TensorFlow Probability for running computations, which allows fast execution on GPUs.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    pycm

    pycm

    Multi-class confusion matrix library in Python

    PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters. PyCM is the swiss-army knife of confusion matrices, targeted mainly at data scientists that need a broad array of metrics for predictive models and an accurate evaluation of large variety of classifiers.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB