Showing 7 open source projects for "it log"

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  • 1
    Sacred

    Sacred

    Sacred is a tool to help you configure, andorganize IDSIA experiments

    ...You get a powerful command-line interface for each experiment that you can use to change parameters and run different variants. Observers that log all kinds of information about your experiment, its dependencies, the configuration you used, the machine it is run on, and of course the result. These can be saved to a MongoDB, for easy access later.
    Downloads: 0 This Week
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  • 2
    PyTensor

    PyTensor

    Python library for defining and optimizing mathematical expressions

    PyTensor is a fork of Aesara, a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays. PyTensor is based on Theano, which has been powering large-scale computationally intensive scientific investigations since 2007. A hackable, pure-Python codebase. Extensible graph framework is suitable for rapid development of custom operators and symbolic optimizations. Implements an extensible graph transpilation framework that...
    Downloads: 4 This Week
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  • 3
    MLflow

    MLflow

    Open source platform for the machine learning lifecycle

    MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud).
    Downloads: 5 This Week
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  • 4
    TorchMetrics

    TorchMetrics

    Machine learning metrics for distributed, scalable PyTorch application

    TorchMetrics is a collection of 80+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. Your data will always be placed on the same device as your metrics. You can log Metric objects directly in Lightning to reduce even more boilerplate. The module-based metrics contain internal metric states (similar to the parameters of the PyTorch module) that automate accumulation and synchronization across devices! Automatic accumulation over multiple batches. Automatic synchronization between multiple devices. ...
    Downloads: 0 This Week
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  • 5
    Django friendly finite state machine

    Django friendly finite state machine

    Django friendly finite state machine support

    ...FSM really helps to structure the code, especially when a new developer comes to the project. FSM is most effective when you use it for some sequential steps. Transition logging support could be achieved with help of django-fsm-log package.
    Downloads: 0 This Week
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  • 6
    daily-paper-computer-vision

    daily-paper-computer-vision

    Document papers compiled daily in computer vision/deep learning

    ...By aggregating paper titles and references in one place, it reduces the overhead of deciding what to read next and helps you spot trends early. It doubles as a personal knowledge log: you can star or fork it to build your own “to-read” roadmap. For students and engineers alike, it’s a practical way to stay research-literate without getting overwhelmed.
    Downloads: 0 This Week
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  • 7

    Chordalysis

    Log-linear analysis (data modelling) for high-dimensional data

    ===== Project moved to https://github.com/fpetitjean/Chordalysis ===== Log-linear analysis is the statistical method used to capture multi-way relationships between variables. However, due to its exponential nature, previous approaches did not allow scale-up to more than a dozen variables. We present here Chordalysis, a log-linear analysis method for big data. Chordalysis exploits recent discoveries in graph theory by representing complex models as compositions of triangular structures, also known as chordal graphs. ...
    Downloads: 0 This Week
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