https://github.com/gengjia0214/jai

A LEGO-style PyTorch-based Deep Learning Library for ConvNets Modeling
https://github.com/gengjia0214/jai

cnn convolutional-neural-networks deep-learning densenet framework image-classification image-recognition mobilenet modeling python pytorch resnet

Last synced: 24 days ago
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A LEGO-style PyTorch-based Deep Learning Library for ConvNets Modeling

• Host: GitHub
• URL: https://github.com/gengjia0214/jai
• Owner: gengjia0214
• License: bsd-3-clause
• Created: 2020-02-17T20:45:23.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2021-04-16T06:01:19.000Z (about 5 years ago)
• Last Synced: 2026-04-22T17:12:42.505Z (2 months ago)
• Topics: cnn, convolutional-neural-networks, deep-learning, densenet, framework, image-classification, image-recognition, mobilenet, modeling, python, pytorch, resnet
• Language: Python
• Homepage:
• Size: 38.7 MB
• Stars: 8
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# JAI - Just Assemble It!

[![GitHub Release](https://img.shields.io/badge/Language-Python-blue.svg)]()

[![GitHub Release](https://img.shields.io/badge/Status-Beta-yellow.svg)]()

[![GitHub Release](https://img.shields.io/badge/Version-v0.1pre-green.svg)]()

Author: Jia Geng

Email: jxg570@miami.edu | gjia0214@hotmail.com

PyPI: https://pypi.org/project/jai/

## Introduction

*Deep learning is fun. What not fun is the pipeline digging and rigging. Why can't we just enjoy the process

 of exploring all kinds of SOTA techniques with interesting dataset instead of wasting our coffee on boring things like implementing the sockets for it.*

**jai** is a LEGO-style PyTorch-based Deep Learning Library. 

The main idea behind **jai** is to reduce the amount of time spent on building all sort of pipelines or sockets to plugin those fancy deep learning tricks. This project also tend to create some handy toolkits for Kaggle.

## Installation

`pip install jai` (**jai on PyPI is currently on a depreciated version**)

## Tutorials 

Coming soon.