semvec/pypi-packages huggingface dataset:
certainty-sims 0.0.1
Simulations to evaluate probablistic models of certainty.
Requires Python: >=3.8

## Certainty

Simulated tasks to be learned within environments that are used to evaluate probablistic models of certainty.

### Verisoning

This project uses [Semantic Versioning 2.0.0](https://semver.org/spec/v2.0.0.html).
This project's version will remain < 1.0.0 until adequate unit test coverage exists.

### License

This project's license is the MIT license as seen in LICENSE.txt.
image-processing-ge 0.2
Projeto para o Bootcamp Cognizant Cloud Data Engineer #2
Requires Python: >=3.8

# package_name

Description. 
The package package_name is used to:
	Processing: 
	    - Histogram marching
        - Structural Similarity
        - Risize 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 image_processing_ge
```

## Usage

```python
from package_name.module1_name import file1_name
file1_name.my_function()
```

## Author
Gustavo Ellwanger

## License
[MIT](https://choosealicense.com/licenses/mit/)
certainty-tensorflow 0.0.1
P r o b a b l i s t i c   m o d e l s   o f   c e r t a i n t y   i n   T e n s o r f l o w .
Requires Python: >=3.8

## Certainty

Probablistic models of certainty including those that are Bayesian or information theoretic.
This uses Tensorflow as the computation backend.

### Verisoning

This project uses [Semantic Versioning 2.0.0](https://semver.org/spec/v2.0.0.html).
This project's version will remain < 1.0.0 until adequate unit test coverage exists.

### License

This project's license is the MIT license as seen in LICENSE.txt.
textime 1.0.6
Python library that converts a date written as plain text to a datetime object.
Requires Python: >=3.9

# Convert plain text to datetime
[![PyPI version](https://badge.fury.io/py/textime.svg)](https://badge.fury.io/py/textime)
[![PyPI - Downloads](https://img.shields.io/pypi/dm/textime)](https://pypi.org/project/textime/)
[![License](https://img.shields.io/badge/license-MIT-blue)](https://github.com/Eric-Mendes/textime/blob/main/LICENSE)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
> Currently only supporting English.

Python library that converts a date written as plain text to a datetime object.

## How to use it :computer:
First you install it in you environment like this
```bash
pip install textime
```
Then you can start using it already! Pass any string to the `text` parameter containing a date in the format: "`DAY` of `MONTH` of `YEAR`" where `YEAR` must be written out completely, like "first of May of two thousand and twenty one" or "second of August of one thousand nine hundred and ninety nine".
```python
from datetime import datetime

from textime import textime


text_to_dt: datetime = textime.to_datetime(text="Fifteenth of July of two thousand and eight")
```

## Contribution :pencil:
This project is open source. Contributions are welcome and appreciated. Please check our [guide for contributing](https://github.com/Eric-Mendes/textime/blob/main/CONTRIBUTING.md) and our [code of conduct](https://github.com/Eric-Mendes/textime/blob/main/CODE_OF_CONDUCT.md) as well.
NanoImgPro 0.2.3
Nanosensor Image Processor (NanoImgPro), a python-based image analysis tool for dopamine nanosensors
Requires Python: >=3.6

# NanoImgPro
Nanosensor Image Processor (NanoImgPro), a python-based image analysis tool for dopamine nanosensors 



NanoImgPro.py contains the main class to process files


example_batch_process.py contains an example batch processing file

Documentation can be found in the [docs](https://github.com/NicholasOuassil/NanoImgPro/tree/main/docs) folder. Download the repo and open the HTML file in a web browser (works with chrome)

In order to import the class you should run `from NanoImgPro.NanoImgPro import NanoImgPro `

currently version 0.2.3
certainty-torch 0.0.1
P r o b a b l i s t i c   m o d e l s   o f   c e r t a i n t y   i n   T o r c h .
Requires Python: >=3.8

## Certainty

Probablistic models of certainty including those that are Bayesian or information theoretic.
This uses Torch as the computation backend.

### Verisoning

This project uses [Semantic Versioning 2.0.0](https://semver.org/spec/v2.0.0.html).
This project's version will remain < 1.0.0 until adequate unit test coverage exists.

### License

This project's license is the MIT license as seen in LICENSE.txt.