Mina Almasi's repositories
ChatGPT-IGT
Investigating ChatGPT's decision making using the Iowa Gambling Task. By @drasbaek & @MinaAlmasi
aarhus-rentmapper
Aarhus RentMapper, a geospatial tool for optimizing apartment rental decisions for consumers. Spatial Analytics exam project by @drasbaek and @MinaAlmasi
ABM-study-group
Agent-based modelling for the exam Social and Cultural Dynamics in the 4th semester of the BSc. in Cognitive Science. Collaboration with @drasbaek
AdvancedCognitiveNeuroscience
Notebooks and code for the course "Advanced Cognitive Neuroscience". Code is usually provided by course teacher.
CIFAKE-image-classifiers
Investigating the utility of artificially generated images as an alternative to data augmentation. Self-assigned Assignment 4, Visual Analytics, Cultural Data Science F2023.
DataSci-AU-24
Primary repository for the course: Data Science, Prediction, and Forecasting, taught as part of the CogSci masters program at Aarhus University.
finetuning-BERT-bilingual-sentiment
Finetuning BERT for bilingual sentiment classification in English and Spanish. Self-assigned Assignment 5, Language Analytics, Cultural Data Science F2023.
inner-speech-fMRI
Code was developed by Mina and Anton. Repository for the portfolio 4 in the course "Advanced Cognitive Neuroscience" (E2023)..
inner-speech-MEG
MEG ACN portfolio 3 by study group 7 (Alina, Anton, Juli, Martine, Mina). Cognitive Science MSc. (E2023)
matching-pennies
Portfolio 1 Assignment for Advanced Cognitive Modelling at the Cognitive Science MSc. (F24)
bayesian-model-of-conformity
Portfolio 3 Assignment for Advanced Cognitive Modelling at the Cognitive Science MSc. (F24)
cds-language
Main repository for all code and data related to Language Analytics (F23)
cds-spatial
Repository for exercises in spatial analytics 2023
cds-visual
Main repository for all code and data related to Visual Analytics (F22)
dknews-GPT3
project on GPT-3 and synthetic news generation in Danish by @MinaAlmasi & @drasbaek
github_methods_3
Teaching for the course Methods 3: Multilevel Statistical Modeling and Machine Learning at Aarhus University, autumn semester 2021
methods-4-course
Methods 4: Bayesian Computational Modelling
midttrafik-time-series
Code by @drasbaek and @MinaAlmasi for the exam in "Data Science, Prediction, and Forecasting" (F2024) at the Cognitive Science MSc.
MinaAlmasi
Config files for my GitHub profile.