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        "author": "Rasmus Diederichsen",
        "author_email": "rasmus@peltarion.com",
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        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering :: Artificial Intelligence",
            "Topic :: Scientific/Engineering :: Visualization"
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        "description": "<p align=\"center\">\n<img src=\"./logo.png\" alt=\"logo\" width=\"100\"/>\n</p>\n\n# Ikkuna\nA tool for monitoring neural network training.\n\n---\n\nIkkuna provides a framework for adding live training metrics to your PyTorch\nmodel with minimal configuration. It is a PubSub framework which allows\npractitioners to quickly test metrics implemented against a simple API. The\nfollowing data is provided\n\n* Activations\n* Gradients w.r.t weights and biases\n* Gradients w.r.t layer outputs\n* Weights\n* Biases\n* Weight updates\n* Bias updates\n* Metadata such as current step in the training, current labels and current\n  perdictions\n\nSubscribers consume this data and distill it into metrics. Different backends can be\nused\n\n* Matplotlib\n* Tensorboard\n\n# Working with this repository\n\nYou should create a `conda` envorinment from the provided `torch.yaml` file and\n`pip install -r` the provided `requirements.txt` file. You will also have to\ninstall `numba` for building the documentation until I have the time to figure\nout how to optionally turn off parts of a doc build.\n\nYou should also run `python setup.py develop` which will install the package\nwith symlinks to this repository. Since all subscribers are `setuptools` plugins, they are\nnot available unless `setup.py` is run.\n\n## Documentation\nThe sphinx-generated html documentation is hosted [here](https://peltarion.github.io/ai_ikkuna/).\n\n\n\n",
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        "keywords": "deep-learning,pytorch,neural-networks,machine-learning",
        "license": "",
        "maintainer": "",
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        "name": "ikkuna",
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