semvec/pypi-packages huggingface dataset:
daxueba-wireshark 2022.7.14.0
大学霸 Wireshark 数据分析教程
Requires Python: >=3.6

# 大学霸 Wireshark 数据分析教程

## 下载

### Docker

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

### PYPI

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

### NPM

```
npm install -g daxueba-wireshark
daxueba-wireshark <port>
# 访问 http://localhost:{port} 查看文档
```
daxueba-win-pentest 2022.7.14.0
大学霸 Windows 渗透测试教程
Requires Python: >=3.6

# 大学霸 Windows 渗透测试教程

## 下载

### Docker

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

### PYPI

```
pip install daxueba-win-pentest
daxueba-win-pentest <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g daxueba-win-pentest
daxueba-win-pentest <port>
# 访问 http://localhost:{port} 查看文档
```
daxueba-tcpip 2022.7.14.0
大学霸 TCPIP 协议教程
Requires Python: >=3.6

# 大学霸 TCPIP 协议教程

## 下载

### Docker

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

### PYPI

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

### NPM

```
npm install -g daxueba-tcpip
daxueba-tcpip <port>
# 访问 http://localhost:{port} 查看文档
```
daxueba-nmap 2022.7.14.0
大学霸 Nmap 渗透测试教程
Requires Python: >=3.6

# 大学霸 Nmap 渗透测试教程

## 下载

### Docker

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

### PYPI

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

### NPM

```
npm install -g daxueba-nmap
daxueba-nmap <port>
# 访问 http://localhost:{port} 查看文档
```
daxueba-net-scan 2022.7.14.0
大学霸 Kali Linux 网络扫描教程
Requires Python: >=3.6

# 大学霸 Kali Linux 网络扫描教程

## 下载

### Docker

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

### PYPI

```
pip install daxueba-net-scan
daxueba-net-scan <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g daxueba-net-scan
daxueba-net-scan <port>
# 访问 http://localhost:{port} 查看文档
```
daxueba-net-protect 2022.7.14.0
大学霸网络防护与反入侵教程
Requires Python: >=3.6

# 大学霸网络防护与反入侵教程

## 下载

### Docker

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

### PYPI

```
pip install daxueba-net-protect
daxueba-net-protect <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g daxueba-net-protect
daxueba-net-protect <port>
# 访问 http://localhost:{port} 查看文档
```
daxueba-nessus-openvas 2022.7.14.0
大学霸 Nessus 与 OpenVAS 漏洞扫描教程
Requires Python: >=3.6

# 大学霸 Nessus 与 OpenVAS 漏洞扫描教程

## 下载

### Docker

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

### PYPI

```
pip install daxueba-nessus-openvas
daxueba-nessus-openvas <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g daxueba-nessus-openvas
daxueba-nessus-openvas <port>
# 访问 http://localhost:{port} 查看文档
```
daxueba-mobi-capture 2022.7.14.0
大学霸手机抓包与数据分析教程
Requires Python: >=3.6

# 大学霸手机抓包与数据分析教程

## 下载

### Docker

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

### PYPI

```
pip install daxueba-mobi-capture
daxueba-mobi-capture <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g daxueba-mobi-capture
daxueba-mobi-capture <port>
# 访问 http://localhost:{port} 查看文档
```
daxueba-metasploit5 2022.7.14.0
大学霸 Metasploit 5 渗透测试教程
Requires Python: >=3.6

# 大学霸 Metasploit 5 渗透测试教程

## 下载

### Docker

```
docker pull apachecn0/daxueba-metasploit5
docker run -tid -p <port>:80 apachecn0/daxueba-metasploit5
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install daxueba-metasploit5
daxueba-metasploit5 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g daxueba-metasploit5
daxueba-metasploit5 <port>
# 访问 http://localhost:{port} 查看文档
```
daxueba-kali-wireless 2022.7.14.0
大学霸 Kali Linux 无线网络渗透测试教程
Requires Python: >=3.6

# 大学霸 Kali Linux 无线网络渗透测试教程

## 下载

### Docker

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

### PYPI

```
pip install daxueba-kali-wireless
daxueba-kali-wireless <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g daxueba-kali-wireless
daxueba-kali-wireless <port>
# 访问 http://localhost:{port} 查看文档
```
daxueba-kali 2022.7.14.0
大学霸 Kali Linux 渗透测试教程
Requires Python: >=3.6

# 大学霸 Kali Linux 渗透测试教程

## 下载

### Docker

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

### PYPI

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

### NPM

```
npm install -g daxueba-kali
daxueba-kali <port>
# 访问 http://localhost:{port} 查看文档
```
daxueba-crypto 2022.7.14.0
大学霸密码安全与防护教程
Requires Python: >=3.6

# 大学霸密码安全与防护教程

## 下载

### Docker

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

### PYPI

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

### NPM

```
npm install -g daxueba-crypto
daxueba-crypto <port>
# 访问 http://localhost:{port} 查看文档
```
maskedtensor-nightly 0.12.dev2022714
MaskedTensors for PyTorch
Requires Python: >=3.7

# maskedtensor

**Warning: This is a prototype library that is actively under development. If you have suggestions or potential use cases that you'd like addressed, please
open a Github issue; we welcome any thoughts, feedback, and contributions!**

MaskedTensor is a prototype library that is part of the [PyTorch](https://pytorch.org/) project and is an extension of `torch.Tensor` that provides the ability to mask out the value for any given element. Elements with masked out values are ignored during computation and give the user access to advanced semantics such as masked reductions, safe softmax, masked matrix multiplication, filtering NaNs, and masking out certain gradient values.

## Installation

### Binaries

To install the official MaskedTensor via pip, use the following command:

```
pip install maskedtensor
```

For the dev (unstable) nightly version that contains the most recent features, please replace `maskedtensor` with `maskedtensor-nightly`.

Note that MaskedTensor requires PyTorch >= 1.11, which you can get on the [the main website](https://pytorch.org/get-started/locally/)

### From Source

To install from source, you will need Python 3.7 or later, and we highly recommend that you use an Anaconda environment. Then run:

```
python setup.py develop
```

## Documentation

Please find documentation on the [MaskedTensor Website](https://pytorch.org/maskedtensor/main/index.html).

### Building documentation

Please follow the instructions in the [docs README](https://github.com/pytorch/maskedtensor/tree/main/docs).

### Notebooks

For an introduction and instructions on how to use MaskedTensors and what they are useful for, there are a nubmer of tutorials on the [MaskedTensor website](https://pytorch.org/maskedtensor/main/index.html).

## License

maskedtensor is licensed under BSD 3-Clause