semvec/pypi-packages huggingface dataset:
swapdf 0.9.9
SWAP PDF pages after scan of a two-sided sheet pack through a one-sided feeder.
Requires Python: >=3.6

```
INSTALLATION

    $ pip3 install swapdf

HELP

    $ swapdf -h

USAGE

    $ swapdf [-h] [-V] [-v] [-y] [-n] [-o] [-q] [source] target


SWAP PDF pages after scan of a two-sided sheet pack through a one-sided feeder.

swapdf is the typical example of a program written in order to scratch a single itch.

Let's have a two-sided sheet pack we want to scan through a one-sided feeder. Then:

    - we open the scan utility, say simple-scan aka Document Scanner
    - we click the "All Pages From Feeder" option
    - we scan all odd pages
    - then we turn upside down the pack and we put it again in the feeder
    - we scan all even pages
    - finally we save our pages in a file, say 'Scanned Document.pdf'

Now 'Scanned Document.pdf' contains odd pages in ascending order, followed by even pages in
descending order.

For instance, say our sheets are 4, so our pages are 8, so 'Scanned Document.pdf' contains
the pages:

    1 3 5 7 8 6 4 2

We issue at terminal:

    $ swapdf 'Scanned Document.pdf' mydoc.pdf

or simply:

    $ swapdf mydoc.pdf

because 'Scanned Document.pdf' is the default input file.

Now mydoc.pdf contains the pages:

    1 2 3 4 5 6 7 8

in the right order.

POSITIONAL ARGUMENTS

  source         source file with pages from scanner 1 3 5 ... 6 4 2, default
                 = 'Scanned Document.pdf'
  target         target file with swapped pages 1 2 3 4 5 6 ...

OPTIONAL ARGUMENTS

  -h, --help     show this help message and exit
  -V, --version  show program's version number and exit
  -v, --verbose  show what happens
  -y, --yes      overwrite existing target file (default: ask)
  -n, --no       don't overwrite existing target file (default: ask)
  -o, --open     at end open the target file for check and print (default:
                 ask)
  -q, --quit     at end don't open the target file for check and print
                 (default: ask)
```
neural-studio 0.1.1
A small example package
Requires Python: >=3.6

# Neural Studio 
(**Formally known as TensorFlow GUI.**)

[![GitHub stars](https://img.shields.io/github/stars/monjoybme/Neural-Studio)](https://github.com/monjoybme/Neural-Studio/stargazers)
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![GitHub License](https://img.shields.io/github/license/monjoybme/Neural-Studio)



> Neural studio is a rapid prototyping tool for deep learning applications. It provides and easy to use and intuitive UI for users ranging from beginners to professionals. 


# GSoC 2021
![](https://camo.githubusercontent.com/32c909b8f61afb6f82fa821f35093f0df70fb28b227ac582709e98ed40ce315f/68747470733a2f2f646576656c6f706572732e676f6f676c652e636f6d2f6f70656e2d736f757263652f67736f632f7265736f75726365732f646f776e6c6f6164732f47536f432d6c6f676f2d686f72697a6f6e74616c2d3230302e706e67) 

> Student : Viraj Patel
 
> Mentor : Monjoy Saha

> Organization : Department of Biomedical Informatics (BMI), Emory University School of Medicine


### Progress And Features

---
☑️ : Implementation Partial

✅ : Implementation Complete

---

✅ Re-design and re-implement UI in React and Python based backend framework and move the application to the web. 

✅ Removing dependencies like konvajs and creating a Graph editor from scratch. 

✅ Add support for keras APIs. 

✅ Ready to use pre-trained models like VGG16, ResNet, etc. These can be used for transfer learning. 

✅ Create an in-browser training and testing environment. 

✅ Develop utilities to monitor training process, monitor live loss and visualize them using line plots. 

✅ Add support for custom functions as nodes that can be used to inject code in graph.

☑️ Develop an Inference engine for trained models to run models and utility to visualize outputs for simpler models like classification, regression segmentation etc. 

☑️ Add custom data loaders and a dataset viewer for different input type of data. Eg. images, text files.

☑️ Add support for saving , loading and sharing training models in different formats such as .pb , weights and json files. 

✅ Add preprocessed open source datasets from different domains. 


*These are features that i proposed as part of my GSoC proposal. I have also added severl more features like cross platform distribution using PyPi, Public Inference APIs for trained models and Workspace management.*

---

> Links

+ [Documentation](https://vptl185.gitbook.io/neuralstudio/)
+ [PyPi Repository](https://pypi.org/project/neural-studio/)

> Tutorials

1. [Creating a Workspace](https://youtu.be/-odE7gza9cw)
2. [Creating a Dataset](https://youtu.be/qWpXz_BeDE0)
3. [Building a Model](https://youtu.be/YRT34hsqIXg)
4. [Training Model](https://youtu.be/kb3VNgJUK0s)


> Contribution Guide.

coming soon...