Data

Tools

Indexes

Applications

Experiments

Open Source Science

https://github.com/alxhslm/hand-writing-generation

A GenAI app to generate hand-written characters

https://github.com/alxhslm/hand-writing-generation

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (5.3%) to scientific vocabulary

Keywords

computer-vision deep-learning pytorch streamlit variational-autoencoder
Last synced: 5 months ago · JSON representation

Repository

A GenAI app to generate hand-written characters

Basic Info
  • Host: GitHub
  • Owner: alxhslm
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 4.18 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
computer-vision deep-learning pytorch streamlit variational-autoencoder
Created about 2 years ago · Last pushed 8 months ago
Metadata Files
Readme

README.md

:writing_hand: Hand writing generation

Streamlit App

The objective of this project is to be able to: 1. Classify hand-written characters 2. Generate realistic hand-written characters in a given style

Downloading the dataset

The dataset can be download from Kaggle. You can either download this: - Directly from the website - Using the Kaggle API as follows: bash !kaggle datasets download -d sachinpatel21/az-handwritten-alphabets-in-csv-format -p data --unzip

Using the interactive dashboard

To classify your own hand-written characters and generate synthetic characters in your own hand-writing style, you can use the interactive streamlit dashboard. This is hosted on Streamlit Cloud.

You can also launch the dashboard locally by running the following command:

bash streamlit run dashboard.py

Owner

  • Name: Alex Haslam
  • Login: alxhslm
  • Kind: user
  • Company: @optimal-labs

GitHub Events

Total
  • Delete event: 7
  • Push event: 5
  • Pull request event: 11
  • Create event: 7
Last Year
  • Delete event: 7
  • Push event: 5
  • Pull request event: 11
  • Create event: 7

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 0
  • Total pull requests: 6
  • Average time to close issues: N/A
  • Average time to close pull requests: 2 days
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 6
  • Bot issues: 0
  • Bot pull requests: 6
Past Year
  • Issues: 0
  • Pull requests: 6
  • Average time to close issues: N/A
  • Average time to close pull requests: 2 days
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 6
  • Bot issues: 0
  • Bot pull requests: 6
View more stats
Top Authors
Issue Authors
Pull Request Authors
  • dependabot[bot] (26)
Top Labels
Issue Labels
Pull Request Labels
dependencies (26) python (5)

Dependencies

.devcontainer/Dockerfile docker
  • mcr.microsoft.com/vscode/devcontainers/python 0-3.11 build
.devcontainer/docker-compose.yml docker
poetry.lock pypi
  • 163 dependencies
pyproject.toml pypi
  • aws-requests-auth ^0.4.3
  • ipython ^8.15.0
  • jupyter 1.0.0
  • kaggle ^1.5.16
  • matplotlib ^3.8.0
  • mypy ~1.0.0
  • numpy 1.23.5
  • pandas 1.5.2
  • pandas-stubs ~1.5.2
  • plotly 5.15.0
  • pre-commit 2.20.0
  • python ~3.11
  • scikit-learn ^1.3.2
  • scipy 1.10.0
  • streamlit 1.25.0
  • torch 2.0.0
  • torchvision 0.15.1