Showing 5 open source projects for "machine learning platform"

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    The #1 Embedded Analytics Solution for SaaS Teams.

    Qrvey saves engineering teams time and money with a turnkey multi-tenant solution connecting your data warehouse to your SaaS application.

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  • 1
    LiteIDE X

    LiteIDE X

    LiteIDE is a simple, open source, cross-platform Go IDE

    Use LiteIDE development golang need to install the Go language development environment. The LiteIDE environment setup plugin allows you to quickly switch between multiple system environments for your build. Each environment has its own set of environment variables that can be used to control the build process. The dropdown in the toolbar can be used to select the environment currently being used for builds. By default, the system environment, representing the platform and architecture...
    Downloads: 7 This Week
    Last Update:
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  • 2
    ZinjaI

    ZinjaI

    Lightweight and easy to use cross-platform C++ IDE

    ZinjaI is a lightweight Cross-platform IDE for programming with C/C++, initially aimed to be used in classroom for learning C++, but powerful enough to manage complex projects as ZinjaI itself.
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    Downloads: 1,565 This Week
    Last Update:
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  • 3
    DeepSpeech

    DeepSpeech

    Open source embedded speech-to-text engine

    DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. A pre-trained English model is available for use and can be downloaded following...
    Downloads: 29 This Week
    Last Update:
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  • 4
    fastText

    fastText

    Library for fast text classification and representation

    ... (such as emails, posts, text messages, product reviews, etc...) to one or multiple categories. Such categories can be review scores, spam v.s. non-spam, or the language in which the document was typed. Nowadays, the dominant approach to build such classifiers is machine learning, that is learning classification rules from examples. In order to build such classifiers, we need labeled data, which consists of documents and their corresponding categories (or tags, or labels).
    Downloads: 0 This Week
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  • 5
    crf decoder
    CRF decoder is the simplified version of CRF++, only for decoding the sequential data. It removes the training component and its correspondent codes from CRF++, which makes CRF decoder more reabable and understandable for freshman.
    Downloads: 2 This Week
    Last Update:
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