hypothesis-generation
There are 15 repositories under hypothesis-generation topic.
davisidarta/topometry
Systematically learn and evaluate manifolds from high-dimensional data
EagleW/Scientific-Inspiration-Machines-Optimized-for-Novelty
Official implementation of the ACL 2024: Scientific Inspiration Machines Optimized for Novelty
JSybrandt/agatha
AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation Approach
ChicagoHAI/hypothesis-generation
This is the official repository for HypoGeniC (Hypothesis Generation in Context), which is an automated, data-driven tool that leverages large language models to generate hypothesis for open-domain research. For more details, please see the original paper using the link below.
domsearson/gptips-2-0
Symbolic XAI explainable machine learning & non-linear regression platform for MATLAB
fogbeam/Valmont-F
A open source Literature Based Discovery system, using Groovy & Grails, including a re-implementation of the Arrowsmith algorithm(s)
NuriaQueralt/bioknowledge-reviewer
A Python library for creating and exploring structured review articles.
JTFouquier/explana
Workflow to generate interactive html feature selection report for longitudinal and cross-sectional microbiome studies
manishkr1754/Structured_Thinking_in_Data_Science_Lifecycle
Case Studies & Problems based on Data Science Lifecycle Framework - Problem Formulation, Hypothesis Building, Data Extraction and Cleaning, Data Modeling and Post Modeling
alona808/analysis_telecom_employee_effectiveness
Analysis of the operator's efficiency in a virtual communication company.
dixit-prakhar/SaaS_Pipeline_Conversions
The project involved investigating a decline in sales pipeline conversion at TechnoServe, a tech SaaS startup, and developing hypotheses for the underlying causes. Through data analysis, potential solutions were identified to improve the conversion rate and address the issue.
lokeshk307/Housing-Prices
Machine Learning Algorithm to predict the House prices.
manishkr1754/Loan_Eligibility_Prediction_Python
Predict Loan Eligibility for a Finance company
venkat-a/Unveiling-Patterns-in-Traffic-Crashes-A-Data-Driven-Approach-to-Safer-Roads
By integrating geographical data analysis and statistical modeling, CTCA aims to inform strategies for reducing crash rates and enhancing road safety. This initiative combines innovative data processing techniques with advanced analytics to offer actionable recommendations for policymakers, urban planners, and public safety organizations.