🤺florentino🤺
- Have you ever felt horny implementing AI models from scratch using only Numpy? No?
How to Install
Installing the necessary libraries:
pip install -r requirements.txt
Available models
Click to expand!
-
Machine Learning Model
- Linear Model
florentino.linear_model- Linear regression
LinearRegression
- Linear regression
- Linear Model
-
Deep Learning Model
- Neural Network
florentino.nn- Fully connected layer
Dense - Softmax
Softmax
- Fully connected layer
- Neural Network
Run the following code to view all available models
python -c "
import florentino as flo
yellow, magenta, reset = '\033[1;93m', '\033[1;95m', '\033[0m'
header = ' All modules in florentino '
print(yellow + f'{header:=^50}' + reset)
for submodule in flo.__all__:
exec(f'from florentino import {submodule} as submodule')
print(magenta + submodule.__name__ + reset)
for class_name in submodule.__all__:
print(f'\\t - {class_name}')
del submodule
print(yellow + 50 * '=' + reset)
"
License
This project is licensed under the Apache Software License.
Contact
- nguyenpanda: hatuongnguyen0107@gmail.com
- restingkiwi: khoana2003@gmail.com
1 maintainer
Metadata
1 maintainer
Release files for florentino 0.0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| florentino-0.0.0.1.tar.gz | 14.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| florentino-0.0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 30.7 kB
Release files / florentino-0.0.0.1.tar.gz
| Download URL | florentino-0.0.0.1.tar.gz |
|---|---|
| Size | 14.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.4
|
Release files / florentino-0.0.0.1-py3-none-any.whl
| Download URL | florentino-0.0.0.1-py3-none-any.whl |
|---|---|
| Size | 16.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.4
|
