semvec/pypi-packages huggingface dataset:
dlmml 0.0.3
Converts IR to Code. Heart of Auto-DL
Requires Python: >=3.6

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# DLMML

The intermediary representation of the generated model.

## How to run

#### Install form PyPI (recommended):

```sh
pip install dlmml 
```
*Yep, that's it :)*

#### Steps to build package locally: 

1. ```sh
    # clone the repo
    git clone https://github.com/Auto-DL/DLMML.git
    ```

2. *Activate your environment* (not compulsory but highly recommended)

3. `python -m build`

4. `pip install dist\dlmml-*.tar.gz`

5. [Extra Step] Check using pytest by either running `pytest` or `python setup.py pytest`

#### What is the notebooks folder about:

- Testing and Prototyping is what we do there 
- Run the `jupyter-notebook` command
- Using the GUI, navigate and run the notebooks
- [This](https://github.com/Auto-DL/DLMML/blob/master/notebooks/Code%20Generator%20PlayBook.ipynb) can be a good starting point


## Where to go next?

#### To know more about the project and initiative, please visit our [website](https://auto-dl.github.io/)

#### Curious to know about our front-end or backend development? [Here](https://github.com/Auto-DL/Generator), Have a look :)

## Note
- To know more about the technicalities of the project, read the our [developer guidelines](https://github.com/Auto-DL/DLMML/blob/master/docs/devguide.md).
- For more detailed instructions to run the DLMML part. Read our [User guidelines](https://github.com/Auto-DL/DLMML/blob/master/docs/userguide.md) 

## Contributing
Please take a look at our [contributing](https://github.com/Auto-DL/DLMML/blob/master/docs/contributing.md) guidelines if you're interested in helping!

#### Features to add
- Add model generation code for pytorch

- Check if generated code is correct (current thought is to call model.compile and return errors if any)

- Add different model evaluation parameters

- Test for backward compatibility of libraries versions

- Benchmarking parameters

- Visualization and data preprocessing steps to be added
cppcpyutils 0.3.6
utilities for common tasks in plantcv pipelines
Keywords: plant phenotyping bioinformatics

# cppcpyutils

Utilities for image processing pipelines at the Compact Plants Phenomics Center at Washingtion State University - Pullman. Pipelines are designed around [PlantCV](https://github.com/danforthcenter/plantcv)

## Installation

Install latest release

`pip install cppcpyutils`

Install dev version

`pip install git+https://github.com/CougPhenomics/cppcpyutils.git`

## Use

Please see the [documentation](https://CougPhenomics.github.io/cppcpyutils/)
sample-calsi 0.0.1
To perform calculator actions
Requires Python: >=3.9.5


MIT License

Copyright (c) 2021 xyz

Permission is hereby granted, free of charge, to any person obtaining a copy
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copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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SOFTWARE.