semvec/pypi-packages huggingface dataset:
omzo-pkg-oumar 1.0.0
Mon premier projet
Requires Python: >=3.6

# Multiplication-Table-in-Python-3
To create multiplication table of any integer using Python Program

Initially, the number whose multiplication table is to be displayed is received as input. Then a list of multiples(up to 10) of the number is created. Afterward, a counter is added to the iterable using enumerate() method; which in turn returns as enumerate object. Finally, the multiplication table is printed.
audio-classification-features 2.0
Complete Package for Audio Classification
Requires Python: >=3.6
Keywords: ML,audio-classification,audio-features

# Audio Classification Features
It is made to extract the features from any audio dataset. User's have to provide location of the dataset folder and this library will produce x and y npy files. We also provide custom built Keras model for training.
# Installation
```sh
$ pip install audio_classification_features
```

## Usage
### Making Training Dataset
```py
from audio_classification_features import audio_features as af
af().extractor('dataset')
```

These npy files are loaded with numpy using following commands:
```py
import numpy
x=np.load('x.npy')
y=np.load('y.npy')
```

### Training Custom Built Model
```py
#input_shape generated by this package is of shape (9,13,1)
input_shape=(9,13,1)
```

### Making Predictions
```py 
from audio_classification_features import audio_features as af

#filename example: audio_test.wav
#num_classes same as above 
#model

af().make_prediction(filename,num_classes,model)
```

# Dataset Structure
>folder name of audio will be used as label.

* dataset
    * audio class 1
        * audiofile.wav
    * audio class 2
        * audiofile.wav

# LICENSE
```
GNU General Public License v3.0
```