semvec/pypi-packages huggingface dataset:
losspy 0.1.1
Some loss functions for deep learning.
License: MIT
Keywords: image segmentation,loss,deep learning

# PyLoss

```shell
.
├── LICENSE
├── pyloss
│  ├── __init__.py
│  ├── pixel_based
│  │  ├── __init__.py
│  │  ├── cross_entropy.py
│  │  ├── mae_mse.py
│  │  └── total_variation.py
│  ├── region_based
│  │  ├── __init__.py
│  │  ├── dice_iou.py
│  │  ├── hel.py
│  │  └── ssim.py
│  └── utils
│     ├── __init__.py
│     ├── convert_onehot.py
│     └── misc.py
├── pyproject.toml
└── README.md
```

Some loss functions for deeplearning.

```python
pip install losspy
```
pyls-smart 0.0.1
A command to list directory
License: MIT
Keywords: list-directory

This is the python library which implements the list directory command using python
For each operand that names a file of a type other than directory, pyls-smart displays its name as well as any requested, associated information.
If no arguments are specified, by default list in short format(files only)

Change Log
==========


0.0.1 (05/04/2021)
------------------
- First release
pyaudiobook 0.0.5
pyaudiobook is a python package which converts pdf to mp3 files
License: MIT
Requires Python: >=3.6

Works best with English pdf

Usage :
*pip install pyaudiobook*

*import pyaudiobook*

*pyaudiobook.Pdf2Mp3(input_file_path,lang="en",out_path = output_file_path,out_name=output_file_name,num_threads=1)*

lang, out_path, out_name, num_threads are optional.

Default Language : English

Default Output Path : User Home Directory

Default Output File Name : Output_timestamp

Default Number of Threads : Total Cores Available

eg :

*convertor = pyaudiobook.Pdf2Mp3("sample.pdf",lang="hi",out_path = '~/MyBooks',out_name='History of India',num_threads=8)*

*convertor.convert()*

*output_filename = convertor.output  #For Output File*

*Or just to extract text from PDF*

*txt = convertor.generateText()*


Language Supported


    {
        "af": "Afrikaans",
        "ar": "Arabic",
        "bn": "Bengali",
        "bs": "Bosnian",
        "ca": "Catalan",
        "cs": "Czech",
        "cy": "Welsh",
        "da": "Danish",
        "de": "German",
        "el": "Greek",
        "en": "English",
        "eo": "Esperanto",
        "es": "Spanish",
        "et": "Estonian",
        "fi": "Finnish",
        "fr": "French",
        "gu": "Gujarati",
        "hi": "Hindi",
        "hr": "Croatian",
        "hu": "Hungarian",
        "hy": "Armenian",
        "id": "Indonesian",
        "is": "Icelandic",
        "it": "Italian",
        "ja": "Japanese",
        "jw": "Javanese",
        "km": "Khmer",
        "kn": "Kannada",
        "ko": "Korean",
        "la": "Latin",
        "lv": "Latvian",
        "mk": "Macedonian",
        "ml": "Malayalam",
        "mr": "Marathi",
        "my": "Myanmar (Burmese)",
        "ne": "Nepali",
        "nl": "Dutch",
        "no": "Norwegian",
        "pl": "Polish",
        "pt": "Portuguese",
        "ro": "Romanian",
        "ru": "Russian",
        "si": "Sinhala",
        "sk": "Slovak",
        "sq": "Albanian",
        "sr": "Serbian",
        "su": "Sundanese",
        "sv": "Swedish",
        "sw": "Swahili",
        "ta": "Tamil",
        "te": "Telugu",
        "th": "Thai",
        "tl": "Filipino",
        "tr": "Turkish",
        "uk": "Ukrainian",
        "ur": "Urdu",
        "vi": "Vietnamese",
        "zh-CN": "Chinese",
    }