https://github.com/alefiury/hash-table-backward-shift-visualization

https://github.com/alefiury/hash-table-backward-shift-visualization

Science Score: 13.0%

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
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (5.9%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: alefiury
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 19.5 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme License

README.md

Hash Table Backward Shift Visualization

Installation and Local Execution

Installation

To set up your local environment and install the necessary dependencies, run the following command:

bash pip install -r requirements.txt

Running the Application

Launch the application locally using Streamlit with the command below:

bash streamlit run src/main.py

Running on Google Colab

If you prefer not to install the application locally, you can run it in Google Colab.

  1. Click the badge below to open the Colab notebook:

    Open In Colab

  2. Run all the cells in the notebook sequentially.

  3. A link will be provided in the last cell. Open this link, and when prompted, enter the IP address displayed in the "Tunnel Password" prompt.

Author

  • Alef Iury Siqueira Ferreira

Contact

  • e-mail: alefiuryc.c@discente.ufg.br

Owner

  • Name: Alef Iury
  • Login: alefiury
  • Kind: user
  • Location: Goiânia, Goiás - Brasil
  • Company: Universidade Federal de Goiás

Machine learning researcher and computer science undergraduate student focusing mostly on automatic speech recognition, sound event detection and bioacoustics.

GitHub Events

Total
Last Year

Dependencies

requirements.txt pypi
  • matplotlib ==3.8.1
  • streamlit ==1.36.0