semvec/pypi-packages huggingface dataset:
Basic-NN 0.0.2
A simple package to help you learn to implement NN

# Basic Neural Net Package

This is a simple packkage that implements neural nets from scratch. This package can help you develop small neural net models, and will give you experience of implementing a neural network from scratch. The package can not be used for large scale DL models, it is created for the purpose of learning to implement Neural Nets from scratch.

## Who is this package for - 

The neural net class in this package is built using basic numpy functions, giving you a deep dive on how the backpropogation algorithm works. This package is for beginers who want to get started with neural nets and want to implement it from scratch.
inheritance 0.1.5
inheritance models for mendelian genetics

inheritance models for mendelian diseases
-----------------------------------------

[![Build Status](https://travis-ci.org/brentp/inheritance.svg?branch=master)](https://travis-ci.org/brentp/inheritance)

This module is a general-purpose framework for evaluating if a family exihibits, for example, and autosomal dominant pattern.
The logic for this was tuned in [gemini](https://github.com/arq5x/gemini) but we make it available here as a more general purpose library to encourage:
1. community driven improvements
2. use outside of gemini
3. more comprehensive testing

Finding variants that match autosomal dominance in a trio, for example is very simple to find,
however, after considering multiple generations, arbitrary family sizes, depth cutoffs, and unknown
genotypes and phenotypes to support to real-world datasets it becomes tedious and error-prone.

Supported inheritance tests
===========================

+ autosomal dominant
+ autosomal recessive
+ de novo
+ X-linked dominant, recessive, and de novo
+ compound heterozygote
+ mendelian violation

Usage
=====

For now, the use is via api only. Users can look at the tests to see how to use. Most functions have a signature like:

```Python
 auto_dom(self, min_depth=0, gt_ll=False, strict=True, only_affected=True)
```

where the arguments enforce a minimum depth, a maximum genotype likelihood, strictness (mostly related to parent-offspring requirements)
and wether to allow unaffecteds to have the variant (or be homozygous alt).

ToDo
====
1. add support for X-linked soon.
2. add a simple example of running on a VCF+PED
3. code coverage
4. code documentation

Testing
=======

Tests can be run as:

```
nosetests --with-coverage -x --with-doctest --cover-package inheritance
```

Overview
========

the generic code is in `inheritance/inheritance.py` and a specific implementation that we use in gemini is in `inheritance/pyeval.py`.
To make this available for a new resource, for example to `bcftools` we would look at the implementation of Filter in `inheritance/pyval.py`
and make the generated strings match those expected by `bcftools`.
cat-fact 0.2.0
Get random cat facts fromt the internet ��

# cat-fact

`catFact` Get random cat facts from the internet

## Installation Instructions

```bash
$ pip install cat-fact
```

### Want bleeding edge version?

Create and activate virtual environment.

```bash
$ virtualenv venv
$ source ./venv/bin/activate
```
Now run `python setup.py install`, this will install `catFact` command into the virtual environment

If running `catFact` says command not found, deactivate and activate the virtual environment. That should fix it.

## Example

```bash
$ catFact
Julius Ceasar, Henri II, Charles XI, and Napoleon were all afraid of cats.
```
servertools 1.1.2
administration tools for specific servers
Keywords: server admin tools

Getting Started
================

**servertools** provide some tools to identify servers and fix some specific problems.

**Early Development**: 
*Please note that this project is in planning/early development phase!
Many things might not work or not even exist the way you would expect.*

Installing
----------

Use this command to install the latest version from PyPI.org:
```
pip3 install servertools
```

Contributing
------------

Thank you for your interest in contributing to our code!
Please take a moment and read [our Contributing Guide](Contributing.md) to get you started!

Versioning
-----------

We use [SemVer](http://semver.org/) for versioning. For the versions available, 
see the [releases on this repository][github-releases]. 

Authors
-------

* **Micha Grandel** - *Author and maintainer* - [Github][github]

We thank all of our [contributors][github-contributors], who participated in this project.

License
--------

This project is licensed under the Apache 2.0 License - see the [LICENSE](LICENSE) 
file for details

[github]: https://github.com/michagrandel
[github-releases]: https://github.com/michagrandel/servertools/releases
[github-contributors]: https://github.com/michagrandel/servertools/graphs/contributors
[python]: https://www.python.org/downloads/
[pip]: https://pypi.python.org/pypi/pip
[flask]: http://flask.pocoo.org
[gitflow]: https://danielkummer.github.io/git-flow-cheatsheet/
[gitflow-model]: http://nvie.com/posts/a-successful-git-branching-model/