semvec/pypi-packages huggingface dataset:
danish-bert-embeddings 0.1.0
A package to create danish word/sentence embeddings with BERT.
Requires Python: >=3.6

# Danish BERT Embeddings
<img align='right' src="https://user-images.githubusercontent.com/39537120/96163240-f1c8cd80-0f19-11eb-8bb5-ab1e9f467060.jpg" width="500"><br>
Tired of not having any Danish BERT embeddings? Well, you came to the right place! <br><br>
This is a package for making danish word/sentence embeddings for your very own NLP project, with BERT! 
See how to get started below ⬇️<br><br>

## How to install?
```
pip install danish-bert-embeddings
```
## How to use it?
```
from danish_bert_embeddings import DanishBertEmbeddings

embedder = DanishBertEmbeddings()
embedding = embedder.embed('En mega fed embedding.')
```
### Thanks to
- Lars Kjeldgaard (GitHub: smaakage85) for helping me packaging the project and publish it on PyPi.
- Jens Dahl Møllerhøj (GitHub: mollerhoj) og BotXo for pre-training a danish version of BERT.
<br>
pylcanim 0.0.7
A simple library for loading animations made with SpriteFactory
Requires Python: >=3.8

# pylcanim

<br>pylcanim is a simple library for playing animations made with sprite factory</br>
<br>(https://github.com/craftworkgames/SpriteFactory)</br>

## Installation of pylcanim library
<br>To install from pypi with pip</br>
```
pip install pylcanim
```
## Downloading SpriteFactory

You can directly download the executable(note: At this point this is windows only)
From: https://craftworkgames.itch.io/sprite-factory
Or build it yourself
From: https://github.com/craftworkgames/SpriteFactory

## Using SpriteFactory

You can see this video https://youtu.be/mSakKpmBjrg (time stamp in description)


## Using the library

import the pylcanim into your project with

```py
from pylcanim import pylcanim
```
Then initialize the library with
```py
pylcanim.init('Path/To/Your/SpriteFactoryFile.sf')

```

In your main loop write
```py
image=pylcanim.lcAnim(fpscount,row)
```
Where 
```
fpscount is an integer which determines how fast your animation should run(0 is fastest and becomes slower increasingly)
```
and
```
row is the row number in which your sprite is situated(default=0 for single line spritesheets)
```
## An entire Example

```py
import pygame
from pylcanim import pylcanim as p

(width,height)=(300,200)
clock=pygame.time.Clock()
screen=pygame.display.set_mode((width,height))
pygame.display.flip()
running=True
p.init('run.sf')
while running:
    image =p.lcAnim(3,0)
    for event in pygame.event.get():
        if event.type==pygame.QUIT:

            running=False
    screen.fill((255, 255, 255))
    screen.blit(image, (0, 50))
    pygame.display.update()

    clock.tick(60)
pygame.quit()

```
openenv 0.1.13
A Python package consisting of open-source implemented environments for reinforcement learning.
Requires Python: >=3.6

# OpenEnv

Truly **open source** environments for reinforcement learning. No more MuJoCo!

Currently support these environments:
- Grid World
- Mountain Car
- Random Walk
- Puddle World

## Citation

If you publish work that uses OpenEnv, please cite this library.

## Contribution

Please follow [Google Python Style Guide](https://google.github.io/styleguide/pyguide.html) for the development of this library.

[development.md](development.md)

## License

```
Copyright 2020 Jianfeng Hou <frankderekdick@gmail.com>

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
```
m3-objectpack 2.2.45
Инструментарий для упрощения разработки реестров и справочников

Home-page: https://bitbucket.org/barsgroup/objectpack
Author: Alexey Pirogov
Author-email: pirogov@bars-open.ru
License: MIT
Description: UNKNOWN
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Environment :: Web Environment
Classifier: Natural Language :: Russian
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: License :: OSI Approved :: MIT License
Classifier: Development Status :: 5 - Production/Stable
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Framework :: Django :: 1.4
Classifier: Framework :: Django :: 1.5
Classifier: Framework :: Django :: 1.6
Classifier: Framework :: Django :: 1.7
Classifier: Framework :: Django :: 1.8
Classifier: Framework :: Django :: 1.9
Classifier: Framework :: Django :: 1.10
Classifier: Framework :: Django :: 1.11
Classifier: Framework :: Django :: 2.0
Classifier: Framework :: Django :: 2.1
Classifier: Framework :: Django :: 2.2