summerimmersion
The contents for "A Hands-on Practical Demonstration on Using AI for Chemical Risk Assessment" Summer Immersion at the Grand Hyatt, Wahington D.C. 30th of May to 2nd of July, 2024
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (4.8%) to scientific vocabulary
Repository
The contents for "A Hands-on Practical Demonstration on Using AI for Chemical Risk Assessment" Summer Immersion at the Grand Hyatt, Wahington D.C. 30th of May to 2nd of July, 2024
Basic Info
- Host: GitHub
- Owner: ontox-project
- License: cc-by-4.0
- Language: JavaScript
- Default Branch: main
- Homepage: https://rstudio-connect.hu.nl/SUMMER/
- Size: 118 MB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
SummerImmersion Hands-on demo
Setup and installation
Run these R commands in a local clone of this repo
install.packages("pak")
pak::local_install()
tensorflow::install_tensorflow()
keras::install_keras()
Python installation
Set correct python env for use of tensorflow
``` library(reticulate) condaenvs <- condalist() envname <- condaenvs[2,1] # replace the correct index - choose "r-reticulate" as the envionment
Replace with your environment name
pythonpath <- condapython(envname) pythonpath usepython(pythonpath)
```
Bookdown
This project is an R `{bookdown}' project. Run in the R-Console:
install.packages("bookdown")
bookdown::render_book()
From the root directory of this repo to get a local copy.
Note: this will only work once you completed the project setup above.
Owner
- Name: ontox-project
- Login: ontox-project
- Kind: organization
- Repositories: 1
- Profile: https://github.com/ontox-project
GitHub Events
Total
Last Year
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