semvec/pypi-packages huggingface dataset:
ceh-v11-labman-allinone 2022.5.6.0
CEHv11LabManualAllInOne
Requires Python: >=3.6

# CEHv11LabManualAllInOne

## 下载

### Docker

```
docker pull apachecn0/ceh-v11-labman-allinone
docker run -tid -p <port>:80 apachecn0/ceh-v11-labman-allinone
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install ceh-v11-labman-allinone
ceh-v11-labman-allinone <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g ceh-vyiyi-labman-allinone
ceh-vyiyi-labman-allinone <port>
# 访问 http://localhost:{port} 查看文档
```
ceh-v10-mod-allinone 2022.5.6.0
CEHv10ModuleAllInOne
Requires Python: >=3.6

# CEHv10ModuleAllInOne

## 下载

### Docker

```
docker pull apachecn0/ceh-v10-mod-allinone
docker run -tid -p <port>:80 apachecn0/ceh-v10-mod-allinone
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install ceh-v10-mod-allinone
ceh-v10-mod-allinone <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g ceh-vyiling-mod-allinone
ceh-vyiling-mod-allinone <port>
# 访问 http://localhost:{port} 查看文档
```
secbook-1to9 2022.5.6.0
书安1-9
Requires Python: >=3.6

# 书安1-9

## 下载

### Docker

```
docker pull apachecn0/secbook-1to9
docker run -tid -p <port>:80 apachecn0/secbook-1to9
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install secbook-1to9
secbook-1to9 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g secbook-1to9
secbook-1to9 <port>
# 访问 http://localhost:{port} 查看文档
```
hackcto-2015 2022.5.6.0
安全参考2015
Requires Python: >=3.6

# 安全参考2015

## 下载

### Docker

```
docker pull apachecn0/hackcto-2015
docker run -tid -p <port>:80 apachecn0/hackcto-2015
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install hackcto-2015
hackcto-2015 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g hackcto-erlingyiwu
hackcto-erlingyiwu <port>
# 访问 http://localhost:{port} 查看文档
```
cuda-hybrid-CUDA-HYBRID 0.1.5
Run ABM/FCM models on CUDA cores
Requires Python: >=3.7, <4

CUDA-HYBRID
==============

This repository contains the first ever ABM/FCM Hybrid Model on CUDA cores that can help run the simulation in parallel, reducing the runtime
Requirements:

The project requires Python 3.7 or higher, depending on the version of the packages in requirements.txt.

Installation
-------------

..  code-block:: python

    $ pip install cuda-hybrid

Usage
-----

Check out `Documentation <https://cuda-hybrid.github.io/>`_