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Add new frameworks (#213)

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docs/fundamentals/hyperparameters.md
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@ -16,7 +16,7 @@ These sections are further broken down into sub-sections (General / Args / TF_De
## Command Line Parsing ## Command Line Parsing
ClearML captures any command line parameters passed when invoking code that uses standard python packages such as ClearML captures any command line parameters passed when invoking code that uses standard python packages such as
argparse or [click](https://click.palletsprojects.com). This happens automatically with no additional code required beyond argparse, [click](https://click.palletsprojects.com), or [Python Fire](https://github.com/google/python-fire). This happens automatically with no additional code required beyond
initializing ClearML. initializing ClearML.
### Argparse Example ### Argparse Example

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docs/guides/frameworks/fastai/fastai_with_tensorboard.md
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--- ---
title: FastAI title: FastAI
--- ---
The [fastai_with_tensorboard_example.py](https://github.com/allegroai/clearml/blob/master/examples/frameworks/fastai-v1/fastai_with_tensorboard_example/fastai_with_tensorboard_example.py) The [fastai_with_tensorboard_example.py](https://github.com/allegroai/clearml/blob/master/examples/frameworks/fastai/legacy/fastai_with_tensorboard_example.py)
example demonstrates the integration of ClearML into code that uses fastai v1 and TensorBoard. example demonstrates the integration of ClearML into code that uses FastAI v1 and TensorBoard.
:::note FastAI V2
The ClearML repository also includes [examples using FastAI v2](https://github.com/allegroai/clearml/tree/master/examples/frameworks/fastai).
:::
The example code does the following: The example code does the following:
1. Trains a simple deep neural network on the fastai built-in MNIST dataset (see the [fast.ai](https://fastai1.fast.ai) documentation). 1. Trains a simple deep neural network on the fastai built-in MNIST dataset (see the [fast.ai](https://fastai1.fast.ai) documentation).