https://github.com/marcelwinterot/nano-keras

Deep learning library inspired by Keras
https://github.com/marcelwinterot/nano-keras

keras machine-learning machine-learning-library numpy python

Last synced: 29 days ago
JSON representation

Deep learning library inspired by Keras

• Host: GitHub
• URL: https://github.com/marcelwinterot/nano-keras
• Owner: MarcelWinterot
• License: mit
• Created: 2023-10-18T08:43:13.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-29T22:23:34.000Z (10 months ago)
• Last Synced: 2024-09-27T21:01:19.444Z (about 1 month ago)
• Topics: keras, machine-learning, machine-learning-library, numpy, python
• Language: Python
• Homepage: https://pypi.org/project/nano-keras/
• Size: 342 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# nano-keras

## Overview

### **nano-keras** is a deep learning library written in Python using [NumPy](https://numpy.org/). It's designed to handle the creation and training process of most neural network types, allowing you for quick and easy prototyping and deployment.

### The project is heavily inspired by [Keras](https://keras.io/), the most popular deep learning API in the world, as I'm trying to implement my library in simmilar style and functionality to Keras

## Key Features

### - Simplicity: Built using Python and NumPy, making it easy to read and understand each part

### - Educational: Intended as a learning tool to understand neural network components at a lower level

### - Customization: Allows for tinkering and understanding the core mechanics of neural network operations

## What you can find in nano-keras

### Layers: Dense, Dropout, Reshaping layers, Convolutional layers, Pooling layers and Recurrental Layers

### Optimizers: SGD, Adam, Adadelta, Adagrad, RMSProp, NAdam and much more

### Activation functions: Sigmoid, Tanh, ReLU, ELU, LeakyReLU, Softmax

### Loss functions: MAE, MSE, BCE, CCE, Hinge, Huber

### Callbacks: EarlyStopping, LearningRateScheduler, CSVLogger

### And much more, you can find all the implemented items in [here](https://github.com/MarcelWinterot/nano-keras/wiki/Feature-list)

## Instalation

### **nano-keras** is available on [PyPI](https://pypi.org/project/nano-keras/) so in order to download it open a terminal and paste:

```bash

pip install nano-keras

```

### You now should have succesfully installed nano-keras so to use it in your python file you only need to import it like this:

```py

import nano_keras

```

### If you have an issue message me on github or send me an email

## Documentation

### Documentation is under development and should be finished in the next few days

### You can access it [here](https://github.com/MarcelWinterot/nano-keras/wiki/Documentation)

## License

### This project is licensed under the MIT License - see the LICENSE file for details

## Special thanks

### I'd like to thank my teacher, [Mateusz Kozlowski](https://github.com/mattkozlowski/), who inspired me to start working on this project and kept me motivated to finish this and evryone who showed support for me

### Without you this project would've never come to life