semvec/pypi-packages huggingface dataset:
eigenlearn 0.0.5
A package for matrix denoising and completion by learning eigen vectors
Requires Python: >=3.6

# EigenLearn
EigenLearn provides a framework for matrix denoising and completion by learning eigen vectors
|![org](https://github.com/amirshamaei/EigenLearn/blob/master/src/eigenlearn/examples/org.png?raw=true)|
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|![noisy](https://github.com/amirshamaei/EigenLearn/blob/master/src/eigenlearn/examples/noisy.png?raw=true)|
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|![denoised](https://github.com/amirshamaei/EigenLearn/blob/master/src/eigenlearn/examples/denoised.png?raw=true)|
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|![comp](https://github.com/amirshamaei/EigenLearn/blob/master/src/eigenlearn/examples/compare.png?raw=true)|
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collibra-data-classification 2.0.0.post5
Collibra Catalog classification API
Keywords: OpenAPI,OpenAPI-Generator,Collibra Catalog classification API

    &lt;p&gt;The Catalog API offers functionality related to the catalog product.&lt;br/&gt; It is mainly focused on facilitating the ingestion of information into Catalog. The API enables users to more easily connect Catalog to sources that are not necessarily natively supported in the product. &lt;/p&gt;  # noqa: E501
cv-pose 1.0.9
A lightweight platform for running various computer vision and pose estimation networks. Built on Tensorflow.
Requires Python: >=3.7

# CV-pose

CV-pose is a light Python library using and testing a number of pose estimation networks. Built on Tensorflow.

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install foobar.

```bash
pip3 install cv-pose
```

## License

[MIT](https://choosealicense.com/licenses/mit/)
package-skimage 0.0.1
Image Processing Package using Skimage Dio_me
Requires Python: >=3.8

# package_skimage

Description. 
The package image_processing is used to:
	Processing:
		- Histogram matching
		- Structural similary
		- Resize image
	Utils:
		- Read image
		- Save image
		- Plot image
		- Plot result
		- Plot histogram



## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install package_name

```bash
pip install package_skimage
```

## Author
Leody

## License
[MIT](https://choosealicense.com/licenses/mit/)