Showing 3 open source projects for "neural net python"

View related business solutions
  • Connect with customers in one app Icon
    Connect with customers in one app

    Businesses of all sizes seeking an AI-enhanced, all-in-one communication platform to unify voice, video, and messaging for improved team collaboration

    Dialpad Connect is an AI-powered unified communications platform that combines voice, video, and messaging to enhance team collaboration and customer interactions. It features real-time call transcription, automated call summaries, and AI-generated action items to help users stay focused during conversations. The platform integrates seamlessly with popular business apps like Salesforce, Zendesk, Microsoft Teams, and Google Workspace to streamline workflows. Designed for businesses of all sizes, Dialpad Connect delivers enterprise-grade reliability with 100% uptime SLA and robust disaster recovery. Security and privacy are core priorities, meeting standards like GDPR, HIPAA, and SOC 2 compliance. Dialpad Connect helps companies elevate customer experiences while boosting team productivity.
    Learn More
  • One Unified Time Tracking Software For Projects, Billing, Pay and Compliance Icon
    One Unified Time Tracking Software For Projects, Billing, Pay and Compliance

    For companies of all sizes looking for a Time Tracking software

    Replicon's time-tracking platform is scalable and configurable to support the diverse needs of small, mid & large businesses with a remote and globally distributed workforce. Replicon’s Time Tracking is a cloud-based, enterprise-grade solution that tracks employee time across projects, tasks, presence, and absence to facilitate client billing, project costing, and compliant payroll processing. The scalable and configurable platform offers seamless integration with common business technology stacks, such as ERP, CRM, Accounting, and payroll solutions. With AI-powered time capture, mobile apps, and labor compliance as a service, Replicon makes time tracking hassle-free.
    Learn More
  • 1
    TorchQuantum

    TorchQuantum

    A PyTorch-based framework for Quantum Classical Simulation

    A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers. Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, and quantum neural networks. Dynamic computation graph, automatic gradient computation, fast GPU support, batch model terrorized processing.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2
    Parallel and Distributed Process System

    Parallel and Distributed Process System

    NOTICE OF CONSOLIDATION & PARTNERSHIP PENDING As of April 2026, the 20

    NOTICE OF CONSOLIDATION & PARTNERSHIP PENDING As of April 2026, the 20 pipelines of the QCAUS/PDPBioGen suites are undergoing consolidation for high-scale institutional research. Core 'Ford 2026' algorithms remain the proprietary IP of the Ford Peace and Justice Foundation. Academic users at partner institutions are currently performing validation; all other commercial inquiries must contact the author Computational Neuroscience: Large-scale neural population dynamics, brain-inspired...
    Downloads: 9 This Week
    Last Update:
    See Project
  • 3
    Paddle Quantum

    Paddle Quantum

    Paddle Quantum

    Paddle Quantum (量桨) is the world's first cloud-integrated quantum machine learning platform based on Baidu PaddlePaddle. It supports the building and training of quantum neural networks, making PaddlePaddle the first deep-learning framework in China. Paddle Quantum is feature-rich and easy to use. It provides comprehensive API documentation and tutorials help users get started right away. Paddle Quantum aims at establishing a bridge between artificial intelligence (AI) and quantum computing...
    Downloads: 1 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB