semvec/pypi-packages huggingface dataset:
kgexplore 0.1.2
Python Package for Knowledge Exploration
Keywords: Knowledge Graph,Business

# Knowledge Explore
> - KGExplore: 通用领域知识图谱
> - XiuShang 嗅商: 商业知识图谱

## Vision
> WE ARE DOING IT! FOR REAL! 我们是真的在做! 这是我们眼中的知识图谱现状: 
>  - every body talks about it: 欢迎了解一下各家科技公司的技术宣传稿 :)
>  - nobody really knows how to do it: 别说do it, 什么是知识图谱, 每行每业的定义都不尽相同. 至于怎么做?做什么?, 以后再说; PPT先画, 牛X先吹. 
>  - everyone thinks everyone else is doing it, so everyone claims they are doing it: 这年头, ppt上没提到"知识图谱"概念的, 都不好意思说自己是AI公司.

我们团队一直相信, 人类积累的很多知识其实一直就在文字中(为啥有文化的人都写书呢, 文字传播知识呗!). 而作为一个专业的NLP团队, 
我们一直将我们的核心研发集中在了"无监督学习"和"NLP技术的大规模工程化"上. 在经过一年多的研发&开发后, 我们做出了一套可在大规模文本上抽取的"文字对象间关系"的技术框架,
虽然结果还有不断完善的空间, 但是既然是**知识,就值得被分享**

## 安装


```shell
https://github.com/smoothnlp/KGExplore.git
cd KGExplore
python setup.py install
```

## 使用介绍

> 知识图谱N元组的搜索与可视化

#### 身份验证
> 请将您的身份/就职公司/业务场景/联系方式等电邮到business@smoothnlp.com; 我们对科研工作者提供**免费**的服务调用!

```python
import kgexplore as kge
kge.config.setApiKey(YOUR_API_KEY)
```

### 通用领域知识图谱
```python
rels = []
rels += kge.search_bigram("瑞幸咖啡",limit=10)
kge.visualize(rels)
```
![](https://github.com/smoothnlp/kgexplore/blob/master/demo/瑞幸咖啡.png)


### 嗅商 - 商业知识图谱

```python
rels = []
rels += kge.get_xiushang_ngram(target="董明珠",source_type='企业')
rels += kge.get_xiushang_ngram(source="珠海格力电器股份有限公司",target_type="人物")
kge.visualize(rels)
```
![](https://github.com/smoothnlp/kgexplore/blob/master/demo/嗅商-格力-董明珠.png)

### 请我们喝咖啡
 - 如果你是科研人员: **Free** 
 - 请算法工程师喝咖啡(28元): 5K次调用
 - 请整个团队喝咖啡(128元): 5万次调用
 - 有意包养我们(我们在找融资): 心诚即可,请电邮business@smoothnlp.com

> 请使用下方的二维码进行付款, 然后将支付凭证截图电邮到business@smoothnlp.com ; 我们会在24小时内回复apikey. 谢谢大家支持

![](https://github.com/smoothnlp/kgexplore/blob/master/demo/wechat_payment_qr.jpeg)
spikely 0.7.2
Spike sorting made simple

# spikely 
An application built on top of SpikeInterface to create and run extracellular
data processing pipelines within a GUI. Spikely currently supports loading, preprocessing,
sorting, and curating extracellular datasets that are stored in SpikeInterface
compatible file formats.

## Setup

To run spikely first you must install it:

```
pip install spikely
```

Once installed, spikely can be launched from the command line:

```
spikely
```

## Documentation 
All documentation for spikely can be found here: https://spikely.readthedocs.io/en/latest/.

## Screenshot

![gui](./spikely/resources/spikely_gui.png)

## Authors

[Roger Hurwitz](mailto:rogerhurwitz@gmail.com?subject=Spikely) - Portland, Oregon, USA

[Cole Hurwitz](https://colehurwitz.github.io/) - The Institute for Adaptive and Neural Computation (ANC), University of Edinburgh, Edinburgh, Scotland 

[Shawn Guo](http://www.shawnguo.cn/) - The Institute for Adaptive and Neural Computation (ANC), University of Edinburgh, Edinburgh, Scotland
pyak 0.0.3
A Python cli tools to automically press a key after some time interval.
Requires Python: >=3.5

# pyak
Python program to automically press a key after some time interval.

pyak == py auto key

Before you run make sure you have python3 installed, and then install the package:

`pip install pyak`

example to press shift key every 15 minutes during work hour when slack is running：

`pyak 900 -k shift -t 8:00 17:00 -p slack`

>**Note:** For macos you may need to allow the terminal to control your keyboard by going to **System Preferences -> Security & Privacy -> Privacy -> Accessibility** and make sure terminal (or whatever console you are running it from) is selected

Detailed useage:

```
usage: auto_key.py [-h] [-k [KEY]] [-t START END] [-p [PROCESS]] [SECONDS]

Auto key presser

positional arguments:
  SECONDS               Interval between each key press in seconds.

optional arguments:
  -h, --help            show this help message and exit
  -k [KEY], --key [KEY]
                        Key to press, i.e. shift, f1. Defaults to shift key if
                        not provided
  -t START END, --time_active START END
                        If provided, the key will only be pressed during the
                        specified time. i.e -t 8:00 17:00
  -p [PROCESS], --process [PROCESS]
                        Name or regex of running process to trigger the key press.
```

安心摸鱼
basket-case 0.1.4
Swiss army knife pure Python library to change string casing

# Basket Case
Basket case is a small, pure-Python swiss army knife for translating strings between case styles. I developed it because in my development work I often need to switch between string renderings: snake_case for Python, slug-names for document names, camelCase for a bunch of things, CONSTANT_NAMES for, well, constants, and Title Case for nice human readability.

I want to be able to move between these fluidly and reliably, and by using a single import statement.

```
import basket_case as bc

my_string = "a long name for a variable"
assert bc.slug(my_string)     == "a-long-name-for-a-variable"
assert bc.title(my_string)    == "A Long Name for a Variable"
assert bc.camel(my_string)    == "aLongNameForAVariable"
assert bc.snake(my_string)    == "a_long_name_for_a_variable"
assert bc.constant(my_String) == "A_LONG_NAME_FOR_A_VARIABLE"
```

## Installation

```
pip install basket-case
```

Python 3+ only; sorry not sorry.

## Usage



## Dependencies

Basket case wraps titlecase and python-slugify for their respective capabilities.

## Contributions

Please!
fau 0.0.13
Tools for reading and writing to and from Fau byte streams.
Requires Python: >=3.6

# Fau (Python)

Tools for reading and writing to and from Fau byte streams.

This package includes an `ArraySet` type which represents both a schema and a single instance of that schema.

Please see the [project readme](https://github.com/jameswilddev/Fau/blob/production/readme.md) for further details.