semvec/pypi-packages huggingface dataset:
dmddl 0.2.26
cli tool for creating insert script from ddl script
License: MIT
Requires Python: >=3.13


<h1 align="center">
    <span style="color:#FFA566">⚙️DM</span>DD<span style="color:#FFA566">L⚙️</span>
</h1>
<div align="center">
    <a href = "https://opensource.org/licenses/MIT">
    <img  src="https://img.shields.io/badge/License-MIT-yellow.svg">
    </a>
</div>
<img src=".github/dmddl%20logo_4.png" align="center">

<h3 align="center">
    CLI tool that generates insertion script from DDL
</h3>

---
<h2>
    🖥 Installation
</h2>

To install DMDDL you may use pip:

<img src=".github/pip_install.png" align="center">


<h2>
    💡 How to use it?
</h2>

Firstly, you need to configure DMDDL using -c argument
(you can get api key from [OpenAI](https://platform.openai.com/api-keys)):



<img src=".github/configuring.gif" align="center">

Now you can use the app. Provide -s argument to specify input file: 

<img src=".github/simple_source.gif" align="center">


<h2>
    🐉 For China/Russia 🪆 
</h2>


OpenAI API blocked in this countries, but you can use -ps arguments. <br>
DMDDL will find proxy for you to make request

<img src=".github/proxy.gif" align = "center">


<h2>
    🤝 Contributing
</h2>

Contributions are welcome! <br>
If you have ideas for improving this project, please post them in issues.
<br>
(if i don't answer, you can email me)
torch-anatomy 0.1.1
Layer-by-layer visualizer for PyTorch models
License: MIT

# torch-anatomy

**Layer-by-layer visualizer for PyTorch models — Understand what each layer actually does.**

![PyPI](https://img.shields.io/pypi/v/torch-anatomy)
![License](https://img.shields.io/github/license/harsk03/torch-anatomy)

## Install

```bash
pip install torch-anatomy
```

## Usage

```python
from torch_anatomy import visualize_layers
from torchvision import models

model = models.resnet18(pretrained=True)
visualize_layers(
    model=model,
    input_image='dog.jpg',
    layers_to_show=['Conv2d', 'ReLU'],
    channels_per_layer=6,
    colormap='inferno',
    show_colorbar=True
)
```

Or from CLI:

```bash
torch-anatomy --model resnet18 --image dog.jpg
```

## Features
- Plug-and-play for any PyTorch CNN
- Visualizes feature maps for key layers
- Customizable channels, colormap, and more

## License
MIT
web-session-retriever 0.1.1
A cli tool that opens a browser and returns all the cookies or the required cookie.
License: MIT
Requires Python: >=3.9

```
usage: web-session-retriever [-h] [--cookie COOKIE] [--on-redirect ON_REDIRECT] url

Browse a URL using botasaurus

positional arguments:
  url                        URL to visit

options:
  --cookie COOKIE            Return only this cookie
  --on-redirect ON_REDIRECT  Terminate when redirected to this URL
```

```sh
web-session-retriever https://www.example.com/login --on-redirect https://www.example.com/home

or

web-session-retriever https://www.example.com/login
```