PeTaL's repositories
bidara-deep-chat
BIDARA is a GPT-4o chatbot that was instructed to help scientists and engineers understand, learn from, and emulate the strategies used by living things to create sustainable designs and technologies using the Biomimicry Institute's step-by-step design process.
PeTaL-labeller
The PeTaL labeler labels journal articles with biomimicry functions.
bidara-web
BIDARA is a GPT-4 chatbot that was instructed to help scientists and engineers understand, learn from, and emulate the strategies used by living things to create sustainable designs and technologies using the Biomimicry Institute's step-by-step design process.
biomimicry-binary-classifier
Comparison of binary classification models to predict whether text contains a description of a biological strategy relevant to biomimetic applications or not.
data-collection-and-prep
Starting with a list of URLs of papers that can be used for crowdsourcing, create a CSV file with the URL, DOI of the paper, Title, Abstract, and if the paper is open access
nasa_petal_snorkel
Utilizing the snorkel machine learning model to label biomimicry papers. Snorkel uses weak supervision to label large amounts of training data using programmatic labeling functions based on keyword rules.
Favorite-Foods
This repo is used as a test repository for users to interact with Github
species-labelling
Using NLP and text mining techniques to extract existing species information from papers.
crowdsourcing-labeling
Code used to handle the labeling of papers using crowdsourcing
highlight-words
Highlight the words/phrases the model weighted heavily for a particular label in the titles and abstracts in the search.
interview_questions
Contains challenges for potential interns