* Create haralick_descriptors
* Working on creating Unit Testing for Haralick Descriptors module
* Type hinting for Haralick descriptors
* Fixed docstrings, unit testing and formatting choices
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* Update computer_vision/haralick_descriptors.py
No! What if the Kernel is empty?
Example:
>>> kernel = np.zeros((1))
>>> kernel or np.ones((3, 3))
array([[1., 1., 1.],
[1., 1., 1.],
[1., 1., 1.]])
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* Undone wrong commit
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* Fix ruff errors in haralick_descriptors.py
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* Update haralick_descriptors.py
* Update haralick_descriptors.py
* Update haralick_descriptors.py
* Update haralick_descriptors.py
* Try to fix mypy errors in haralick_descriptors.py
* Update haralick_descriptors.py
* Fix type hint in haralick_descriptors.py
---------
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* add torch to requirements
* add lenet architecture in pytorch
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* pre-commit: Upgrade psf/black for stable style 2023
Updating https://github.com/psf/black ... updating 22.12.0 -> 23.1.0 for their `2023 stable style`.
* https://github.com/psf/black/blob/main/CHANGES.md#2310
> This is the first [psf/black] release of 2023, and following our stability policy, it comes with a number of improvements to our stable style…
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* Updated documentation of cnn_classification.py for much better understanding
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* Update computer_vision/cnn_classification.py
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* The black formatter is no longer beta
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* ADD the algorithms of image augmentation
* ADD the algorithms of image augmentation
* ADD the algorithms of image augmentation
* ADD the algorithms of image augmentation
* ADD the algorithms of image augmentation
* ADD the algorithms of image augmentation
* UPDATE format code
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* Fix all checks have failded
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- Fix end of file
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* Fix errors
* Added Lstm example for stock predection
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* requirements.txt: Add keras and tensorflow
* psf/black
* haris corner detection
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