Showing 11 open source projects for "transfer"

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  • 1
    spacy-transformers

    spacy-transformers

    Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

    spaCy supports a number of transfer and multi-task learning workflows that can often help improve your pipeline’s efficiency or accuracy. Transfer learning refers to techniques such as word vector tables and language model pretraining. These techniques can be used to import knowledge from raw text into your pipeline, so that your models are able to generalize better from your annotated examples.
    Downloads: 1 This Week
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  • 2
    Mobly

    Mobly

    E2E test framework for tests with complex environment requirements

    Mobly is a Python-based test framework that specializes in supporting test cases that require multiple devices, complex environments, or custom hardware setups. P2P data transfer between two devices. Conference calls across three phones. Wearable device interacting with a phone. Internet-Of-Things devices interacting with each other. Testing RF characteristics of devices with special equipment. Testing LTE network by controlling phones, base stations, and eNBs. Mobly can support many different types of devices and equipment, and it's easy to plug your own device or custom equipment/service into Mobly. ...
    Downloads: 0 This Week
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  • 3
    Opsdroid

    Opsdroid

    An open source chat-ops bot framework

    Designed to take messages from chat services and execute Python functions (skills) based on their contents. Connector modules transfer messages between opsdroid and a particular chat service. Database modules allow opsdroid to persist information in a database of your choice. Parsers/Matchers modules gather the meaning of what was said and match a skill. Skills are what make opsdroid tick. They define how opsdroid should respond and what actions to take.
    Downloads: 0 This Week
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  • 4
    FATE

    FATE

    An industrial grade federated learning framework

    ...Supporting various federated learning scenarios, FATE now provides a host of federated learning algorithms, including logistic regression, tree-based algorithms, deep learning and transfer learning. FATE became open-source in February 2019. FATE TSC was established to lead FATE open-source community, with members from major domestic cloud computing and financial service enterprises. FedAI is a community that helps businesses and organizations build AI models effectively and collaboratively, by using data in accordance with user privacy protection, data security, data confidentiality and government regulations.
    Downloads: 1 This Week
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    Grassroots DICOM

    Grassroots DICOM

    Cross-platform DICOM implementation

    Grassroots DiCoM is a C++ library for DICOM medical files. It is accessible from Python, C#, Java and PHP. It supports RAW, JPEG, JPEG 2000, JPEG-LS, RLE and deflated transfer syntax. It comes with a super fast scanner implementation to quickly scan hundreds of DICOM files. It supports SCU network operations (C-ECHO, C-FIND, C-STORE, C-MOVE). PS 3.3 & 3.6 are distributed as XML files. It also provides PS 3.15 certificates and password based mecanism to anonymize and de-identify DICOM datasets.
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    Downloads: 112 This Week
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  • 6
    PyTorch SimCLR

    PyTorch SimCLR

    PyTorch implementation of SimCLR: A Simple Framework

    For quite some time now, we know about the benefits of transfer learning in Computer Vision (CV) applications. Nowadays, pre-trained Deep Convolution Neural Networks (DCNNs) are the first go-to pre-solutions to learn a new task. These large models are trained on huge supervised corpora, like the ImageNet. And most important, their features are known to adapt well to new problems. This is particularly interesting when annotated training data is scarce.
    Downloads: 0 This Week
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  • 7
    TensorFlow Object Counting API

    TensorFlow Object Counting API

    The TensorFlow Object Counting API is an open source framework

    ...You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to do it, please check one of the sample projects, which cover some of the theory of transfer learning and show how to apply it in useful projects. The development is on progress! The API will be updated soon, the more talented and light-weight API will be available in this repo! Detailed API documentation and sample jupyter notebooks that explain basic usages of API will be added!
    Downloads: 0 This Week
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  • 8
    PokemonGo-Bot

    PokemonGo-Bot

    The Pokemon Go Bot, baking with community

    ...Diverse options for humanlike behavior from movement to overall game play. Ability to add multiple coordinates to select between your favorite botting locations. Support self defined path / route. Advanced catch, evolve and transfer confuration using our PokemonOptimizer settings. Determine which pokeball to use. Rules to determine the use of Razz and Pinap Berries. Exchange, evolve and catch Pokemon base on pre-configured rules. Transfer Pokemon in bulk. Auto switch mode.
    Downloads: 0 This Week
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  • 9
    A cross-platform Python Bluetooth API for Mac OS X, GNU/Linux and Python For Series 60. Provides simple device and service discovery, RFCOMM sockets, L2CAP client sockets, OBEX file transfer, service advertising, and access to local device information.
    Downloads: 5 This Week
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  • 10
    Lino is a suite of Python packages for IT professionals who offer business applications for small and medium-sized enterprises.
    Downloads: 0 This Week
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  • 11
    This Project intends to provide the Bluetooth file transfer function for the iphone, a basic function that Apple missed out. DEVELOPERS PLEASE VISIT THE FORUM PAGE. I will update "HERE WE GO" in the coming days with information and the project status
    Downloads: 0 This Week
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