https://github.com/alok-ai-lab/deepinsight
A methodology to transform a non-image data to an image for convolution neural network architecture
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
-
○.zenodo.json file
-
✓DOI references
Found 2 DOI reference(s) in README -
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (2.2%) to scientific vocabulary
Repository
A methodology to transform a non-image data to an image for convolution neural network architecture
Basic Info
- Host: GitHub
- Owner: alok-ai-lab
- License: gpl-3.0
- Language: MATLAB
- Default Branch: master
- Size: 170 MB
Statistics
- Stars: 23
- Watchers: 3
- Forks: 4
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
DeepInsight
This repository contains the original MatLab code for DeepInsight as described in the paper DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture.
pyDeepInsight
The python implementation of DeepInsight has been moved to alok-ai-lab/pyDeepInsight
Owner
- Name: alok-ai-lab
- Login: alok-ai-lab
- Kind: user
- Website: http://www.alok-ai-lab.com/
- Repositories: 4
- Profile: https://github.com/alok-ai-lab
We develop AI or machine learning tools to solve many real-life problems. Doing research on Proteomics, Bioinformatics, Gene selection and Data Science.
GitHub Events
Total
- Watch event: 4
- Fork event: 1
Last Year
- Watch event: 4
- Fork event: 1