Showing 7 open source projects for "simple"

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    Train ML Models With SQL You Already Know

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  • 1
    Super-Linter

    Super-Linter

    Combination of multiple linters to install as a GitHub Action

    This repository is for the GitHub Action to run a Super-Linter. It is a simple combination of various linters, written in bash, to help validate your source code. The super-linter finds issues and reports them to the console output. Fixes are suggested in the console output but not automatically fixed, and a status check will show up as failed on the pull request. The design of the Super-Linter is currently to allow linting to occur in GitHub Actions as a part of continuous integration occurring on pull requests as the commits get pushed. ...
    Downloads: 1 This Week
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  • 2
    Autograd

    Autograd

    Efficiently computes derivatives of numpy code

    Autograd can automatically differentiate native Python and Numpy code. It can handle a large subset of Python's features, including loops, ifs, recursion and closures, and it can even take derivatives of derivatives of derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation), which means it can efficiently take gradients of scalar-valued functions with respect to array-valued arguments, as well as forward-mode differentiation, and the two can be composed arbitrarily....
    Downloads: 0 This Week
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  • 3
    Pylint

    Pylint

    It's not just a linter that annoys you!

    Pylint is a static code analyzer for Python 2 or 3. The latest version supports Python 3.7.2 and above. Pylint analyses your code without actually running it. It checks for errors, enforces a coding standard, looks for code smells, and can make suggestions about how the code could be refactored. Projects that you might want to use alongside pylint include flake8 (faster and simpler checks with very few false positives), mypy, pyright or pyre (typing checks), bandit (security-oriented...
    Downloads: 0 This Week
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  • 4
    pyInspect

    pyInspect

    Create a simple class diagram with docstring and variable infomation.

    Create a simple class diagram with docstring and variable descriptions. The program takes a .py file as an input and creates a class diagram in a form of a html file.
    Downloads: 1 This Week
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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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  • 5
    ...User can browse line of change, file of change, code diff, check-in comment and so on, it can stat. more repository modules one time. After repository modules configured, stat. is simple like a search.
    Downloads: 2 This Week
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  • 6

    Stat cvs/svn Code Change

    stat. cvs,svn code changes and generate html report

    ...User can browse line of change, file of change, code diff, check-in comment and so on, it can stat. more repository modules one time. After repository modules configured, stat. is simple like a search. It's the mirror project of CodeChangeViewer: http://sourceforge.net/projects/ccv/.
    Downloads: 2 This Week
    Last Update:
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  • 7
    Pythonisa is a Python code analyzer is a simple code analyzer for Python that creates a class diagram after executing your code.
    Downloads: 0 This Week
    Last Update:
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