Showing 4 open source projects for "ice-q"

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  • Grafana: The open and composable observability platform Icon
    Grafana: The open and composable observability platform

    Faster answers, predictable costs, and no lock-in built by the team helping to make observability accessible to anyone.

    Grafana is the open source analytics & monitoring solution for every database.
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  • 1
    PennyLane

    PennyLane

    A cross-platform Python library for differentiable programming

    ...The same quantum circuit model can be run on different devices. Install plugins to run your computational circuits on more devices, including Strawberry Fields, Amazon Braket, Qiskit and IBM Q, Google Cirq, Rigetti Forest, and the Microsoft QDK.
    Downloads: 4 This Week
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  • 2
    DeepPavlov

    DeepPavlov

    A library for deep learning end-to-end dialog systems and chatbots

    ...It has comprehensive and flexible tools that let developers and NLP researchers create production-ready conversational skills and complex multi-skill conversational assistants. Use BERT and other state-of-the-art deep learning models to solve classification, NER, Q&A and other NLP tasks. DeepPavlov Agent allows building industrial solutions with multi-skill integration via API services.
    Downloads: 1 This Week
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  • 3
    PaddlePaddle models

    PaddlePaddle models

    Pre-trained and Reproduced Deep Learning Models

    Pre-trained and Reproduced Deep Learning Models ("Flying Paddle" official model library, including a variety of academic frontier and industrial scene verification of deep learning models) Flying Paddle's industrial-level model library includes a large number of mainstream models that have been polished by industrial practice for a long time and models that have won championships in international competitions; it provides many scenarios for semantic understanding, image classification,...
    Downloads: 0 This Week
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  • 4
    Deep Reinforcement Learning for Keras

    Deep Reinforcement Learning for Keras

    Deep Reinforcement Learning for Keras.

    keras-rl implements some state-of-the-art deep reinforcement learning algorithms in Python and seamlessly integrates with the deep learning library Keras. Furthermore, keras-rl works with OpenAI Gym out of the box. This means that evaluating and playing around with different algorithms is easy. Of course, you can extend keras-rl according to your own needs. You can use built-in Keras callbacks and metrics or define your own. Even more so, it is easy to implement your own environments and...
    Downloads: 2 This Week
    Last Update:
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  • Modernize Your Lab with the #1 Rated LIMS Icon
    Modernize Your Lab with the #1 Rated LIMS

    Labs that need a powerful LIMS system

    Nothing is more critical to a lab’s success than the quality, security, and traceability of samples. The Lockbox LIMS system provides robust sample management functionality to laboratory professionals, giving them full visibility on every aspect of a sample’s journey, from accessioning to long-term storage.
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