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pytorch-project-template

A Simple Template For A PyTorch Classification Project 😄

https://github.com/aidinhamedi/pytorch-project-template

Science Score: 44.0%

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Keywords

ai artificial-intelligence classification cnn cnn-classification deep-learning efficientnet python pytorch pytorch-classification pytorch-implementation pytorch-template template template-project
Last synced: 4 months ago · JSON representation ·

Repository

A Simple Template For A PyTorch Classification Project 😄

Basic Info
  • Host: GitHub
  • Owner: AidinHamedi
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 7.7 MB
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
ai artificial-intelligence classification cnn cnn-classification deep-learning efficientnet python pytorch pytorch-classification pytorch-implementation pytorch-template template template-project
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

Classification with PyTorch

License: MIT Ruff

This repository provides a template for image classification projects using PyTorch. It includes a Jupyter notebook (main.ipynb) that contains the main code for the project.

🚧 There's a new version coming... 🚧

🚀 Getting Started

  1. Clone this repository to your local machine.
  2. Install the required dependencies listed in requirements.txt.
  3. Open the main.ipynb Jupyter notebook and follow the instructions.

📂 Data Organization

Your data should be organized in the following structure:

``` ├───Database │ ├───cache # This folder will be created by the program │ └───Data # Put all the folders with images here

Example ⬎

│ ├───battery │ ├───biological │ ├───brown-glass │ ... │ └───white-glass ```

Each subfolder in the Data directory represents a class, and should contain the images for that class. For example, the battery folder should contain images of batteries, the biological folder should contain images of biological items, and so on.

📃 READMEs in Folders

Each folder contains a README file that explains the contents of the folder. Please read these files for more information about the data.

📦 Running the Code

To run the code, simply open the main.ipynb Jupyter notebook and execute the cells in order.

📚 Citing

bib @software{Hamedi_PyTorch-Project-Template, author = {Aydin Hamedi}, license = {MIT}, title = {PyTorch-Project-Template}, url = {https://github.com/Aydinhamedi/PyTorch-Project-Template} }

License

This project is licensed under the MIT License. See the LICENSE file for details. 

 Copyright (c) 2024 Aydin Hamedi



This software is released under the MIT License.
 https://opensource.org/licenses/MIT

Owner

  • Name: Aidin
  • Login: AidinHamedi
  • Kind: user

Segmentation fault

Citation (CITATION.cff) 

cff-version: 1.2.0
title: PyTorch-Project-Template
message: "A Simple Template For A PyTorch Classification Project \U0001F604"
type: software
authors:
  - email: aydin.hamediasl@gmail.com
    given-names: Aydin
    family-names: Hamedi
repository-code: 'https://github.com/Aydinhamedi/PyTorch-Project-Template'
license: MIT

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Dependencies

requirements.txt pypi
  • efficientnet_pytorch ==0.7.1
  • matplotlib ==3.8.3
  • numba ==0.59.1
  • numpy ==1.26.4
  • pillow ==10.2.0
  • scikit-learn ==1.4.1.post1
  • seaborn ==0.13.2
  • torch ==2.2.2
  • torchsummary ==1.5.1
  • torchvision ==0.17.2
  • tqdm ==4.66.2