semvec/pypi-packages huggingface dataset:
apachecn-util-docs-zh 2021.5.6.0
ApacheCN 开发工具中文文档汇总
Requires Python: >=3.6

# ApacheCN 开发工具中文文档汇总

> 协议：[CC BY-NC-SA 4.0](http://creativecommons.org/licenses/by-nc-sa/4.0/)
> 
> 欢迎任何人参与和完善：一个人可以走的很快，但是一群人却可以走的更远。

* [在线阅读](https://util.apachecn.org)
* [在线阅读（Gitee）](https://apachecn.gitee.io/apachecn-util-docs-zh/)
* [ApacheCN 学习资源](http://docs.apachecn.org/)

## 目录

+	[Git 中文文档](doc/git-doc-zh)
+	[Gitlab 中文文档](doc/gitlab-doc-zh)

## 贡献指南

本项目需要校对，欢迎大家提交 Pull Request。

> 请您勇敢地去翻译和改进翻译。虽然我们追求卓越，但我们并不要求您做到十全十美，因此请不要担心因为翻译上犯错——在大部分情况下，我们的服务器已经记录所有的翻译，因此您不必担心会因为您的失误遭到无法挽回的破坏。（改编自维基百科）

## 联系方式

### 负责人

* [飞龙](https://github.com/wizardforcel): 562826179

### 其他

*   在我们的 [apachecn/apachecn-util-docs-zh](https://github.com/apachecn/apachecn-util-docs-zh) github 上提 issue.
*   发邮件到 Email: `apachecn@163.com`.
*   在我们的 [组织学习交流群](http://www.apachecn.org/organization/348.html) 中联系群主/管理员即可.

## 下载

### Docker

```
docker pull apachecn0/apachecn-util-docs-zh
docker run -tid -p <port>:80 apachecn0/apachecn-util-docs-zh
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install apachecn-util-docs-zh
apachecn-util-docs-zh <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g apachecn-util-docs-zh
apachecn-util-docs-zh <port>
# 访问 http://localhost:{port} 查看文档
```

## 赞助我们

![](http://data.apachecn.org/img/about/donate.jpg)
ntm 0.1.1
Neural Topic Modelling
Requires Python: >=3.7

# Neural Topic Modelling (NTM)

Neural topic modelling uses machine learning methods from text mining to analyse brain data. 

Currently, neural topic modelling is being developed for electrophysiological recordings, but will be extended to incorporate LFP traces and Ca2+ imaging recordings.

Neural topic modelling is based on latent dirichlet allocation (LDA, Blei et al., 2003) and makes use of it's scalability to large datasets. Since the number and size of brain recording datasets has increased substantially over the last few years (from 10s to 10,000s), new methods are needed to cope with the copiousness of datasets avaiable to researchers now.


## Installation

```
pip install ntm
```

Note that you need Python 3.7+.