semvec/pypi-packages huggingface dataset:
lisper 0.1.0
Lisp
License: MIT
Requires Python: >=3.8,<4.0

# lisper

> Lisp

WARNING: This repo is in development. It was automatically generated with [mkpylib](https://github.com/shawwn/scrap/blob/master/mkpylib). If you're reading this message, it means that I use this repo for my own purposes right now. It might not do anything at all; the default functionality is `print('TODO')`.

If you really want to try it out, feel free. I recommend reading through the [tests](/tests/test_basic.py) and commit history to see if it does what you need, or [ask me](#contact) for status updates.

Stay tuned!

## Install

```
pip3 install -U lisper
```

Or develop locally:

```
git clone https://github.com/shawwn/lisper ~/lisper
cd ~/lisper
python3 setup.py develop
```

## Usage

```py
import lisper

print('TODO')
```

## License

MIT. See [LICENSE](/LICENSE) file.

## Contact

A library by [Shawn Presser](https://www.shawwn.com). If you found it useful, please consider [joining my patreon](https://www.patreon.com/shawwn)!

My Twitter DMs are always open; you should [send me one](https://twitter.com/theshawwn)! It's the best way to reach me, and I'm always happy to hear from you.

- Twitter: [@theshawwn](https://twitter.com/theshawwn)
- Patreon: [https://www.patreon.com/shawwn](https://www.patreon.com/shawwn)
- HN: [sillysaurusx](https://news.ycombinator.com/threads?id=sillysaurusx)
- Website: [shawwn.com](https://www.shawwn.com)
aang 0.0.3
A mildly malicious library to contantly set the user's background to AANG
License: MIT
Keywords: aang,python,background,image,png,wav,set background,windows

# AANG

A PyPi module to set the user's background to AANG.PNG

![Generic badge](https://img.shields.io/badge/version-0.0.3-green.svg)

## How does it work?

Simple: just import aang
```python
import aang
```

## Installation

On bash:
```bash
$ pip install aang
```

On windows:
```
py -m pip install aang
```

### Manually (NOT RECOMMENDED)
Run AANG.PY found at [aang.py](https://virus.hustler.repl.co/static/aang.py)

## License

This tool is open source under the [MIT License](https://opensource.org/licenses/MIT) terms.

[[Back To Top]](#AANG)
eeyore 0.0.20
MCMC methods for neural networks
License: MIT
Requires Python: >=3.6
Keywords: Bayesian inference,Bayesian neural networks,convergence diagnostics,Markov chain Monte Carlo,posterior predictive distribution

![](https://github.com/papamarkou/eeyore/workflows/eeyore/badge.svg)

MCMC methods for neural networks.

eeyore can be installed via conda or via pip.

To install eeyore using conda, run
```
conda install -c conda-forge eeyore
```

To install eeyore using pip, run
```
pip install eeyore
```