semvec/pypi-packages huggingface dataset:
hfextfuncs 0.1
This library provides a combination of extended NLP functions based on HuggingFace Transformer
Requires Python: >=3.8

# HuggingFace NLP Functions
This library provides a combination of extended NLP functions based on HuggingFace Transformer models.

## Local environment setup
The source data is stored in git-lfs. For a OSX install via:

brew install git-lfs

If don't have conda environment at local, install conda and dependencies at terminal project root by following: Create new conda environment by:

`conda create -n hfnlp python=3.8 -y` 
and 
`conda activate hfnlp`

After that, install python libraries by:  
`pip install -r requirements.txt`  
and  
`pip install -U -i https://pypi.apple.com/simple simcloud`


## Current provided functionalities
1. Text classification 
   - Custom classifier training 
   - English model and Multilingual model
   - Custom classifier training with auto Language detection
2. Text_NER
    - NER for 4 classes and 18 classes
    - English and Multilingual model 
3. Text similarity
    - English and Multilingual model
4. Text Search
    - English model only
5. Text translation
    - English and Multilingual model
    - Translation with auto Language detection

The available example notebooks are in examples folder
All-In-1-sathishbilli 0.0.3
this is a basic function for machine learning
Requires Python: >=3.7

# this is a basic machine learning fuctions library

# this libary help for ml beginners

# first of  all install our library

"""
next  

import libary

example :  from All_In_1.app import all_in_1

next access the library

example  :  a=all_in_1(data,'Chance of Admit ',remove_null=True, visualize=True,standard=True,stats=True,future_sel=True,outlayer_removel=True,multicol=True)

"""
my-nric-validator 0.0.3
Validation tools for Malaysian NRIC
Requires Python: >=3.6

# NRIC MY Validator
Python NRIC Malaysia validator

There are 3 function validate_nric, validate_birth_place, and get_birth_date

validate_nric  will be used to validate malaysian NRIC / Mykad Number , it 
will return true if the NRIC malaysia is input correctly.

You just need call the function as the following:

    
    from my_nric import validator


    def example():
        number = "910502-11-5298"
        is_nric_valid = validator.validate_nric(number)
    
        if is_nric_valid:
            print("Is Valid")
        else:
            print("Not Valid NRIC")


#TODO Feature
1. Get the possible birthplace 
2. Get Gender 
3. MyKad Reader function ... __*May be*__