Showing 53 open source projects for "cloud computing software"

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  • Junie, the AI coding agent by JetBrains Icon
    Junie, the AI coding agent by JetBrains

    Your smart coding agent

    Junie is an AI-powered coding agent developed by JetBrains designed to enhance developer productivity by integrating directly into popular IDEs such as IntelliJ IDEA, PyCharm, and Android Studio. It supports developers by assisting with code completion, testing, and inspections, ensuring code quality and reducing debugging time.
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  • Streamline Hiring with Skill Assessments Icon
    Streamline Hiring with Skill Assessments

    Say goodbye to hiring guesswork. Use Canditech’s job simulation tests to assess real-world skills and make data-driven decisions.

    Canditech offers innovative, cheat-proof skill assessments and job simulations to transform your hiring process. From technical skills to soft skills, we help you assess candidates on actual job performance. With over 500 customizable tests and powerful video interview features, you can evaluate real-world capabilities, streamline your hiring, and reduce biases. Whether you’re hiring for remote roles, mass hiring, or looking to expand your diversity pool, Canditech’s data-driven platform ensures the right candidates are chosen for the job every time.
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  • 1
    Platform for parallel computation in the Amazon cloud, including machine learning ensembles written in R for computational biology and other areas of scientific research. Home to MR-Tandem, a hadoop-enabled fork of X!Tandem peptide search engine.
    Downloads: 0 This Week
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  • 2

    Grid Computing MDR

    Grid-enabled version of the MDR software

    The objective of this project is to make available an open-source of a gridified version of the Multifactor Dimensionality Reduction (MDR) software (http://www.epistasis.org/software.html).
    Downloads: 0 This Week
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  • 3
    pySPACE

    pySPACE

    Signal Processing and Classification Environment in Python using YAML

    ...SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due to its modular architecture, the software can easily be extended with new processing nodes and more general operations. Large scale empirical investigations can be configured using simple text- configuration files in the YAML format, executed on different (distributed) computing modalities, and evaluated using an interactive graphical user interface. For obtaining a zip file of the current state use: https://github.com/pyspace/pyspace/archive/master.zip
    Downloads: 0 This Week
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