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Name: PernilleBrams
Type: User
Location: Aarhus
Name: PernilleBrams
Type: User
Location: Aarhus
This repository contains code from the Bachelor's thesis "Applications of 3D CNNs to whole brain fNIRS data and investigations of transfer learning", authors Pernille Brams and Klara Krøyer.
Statistics/data science hand-ins from 3rd semester.
Algebra and Statistics for 3rd semester Cognitive Science
Scrapes the BoligPortal site for the newest apartment entries and plays a sound when a new apartment below a given price point is found.
DaCy: The State of the Art Danish NLP pipeline using SpaCy
Primary repository for the course: Data Science, Prediction, and Forecasting, taught as part of the CogSci masters program at Aarhus University.
Working with some of my personal Facebook data - initial purpose: to make a wordcloud based on frequencies
Portfolio assignment for advanced cognitive neuroscience (F2023)
Guides for R in Experimental Methods 3, CogSci Bsc, with descriptions of functions used in bottom of every document
Exploratory analysis of data from Himalaya, for instance data about percentages of deaths during mountain climbs and amount of novice/advances climbers in the team. Followed coding lightly from TidyTuesday's YouTube channel. This script is unfinished, and is just here to save my work for now, to be updated later on.
This is a demo repository for parallel multi-index question answering using streamlit and llama index
Portfolio assignment for advanced cognitive neuroscience (F2023) - upstream repo by Laura Paulsen
Resources for Methods 2
Assignment 2 (part 1) for experimental methods 3.
This repo contains all code from the IPSA exam at AU by Pernille Brams, Søren Orm and Anna Daugaard. The exam consists of building a neural network classifier for the MNIST dataset from scratch without using any built-in machine learning frameworks in Python.
Working with NLP in R
Primary repository for the NLP course as part of the CogSci masters program at Aarhus University.
ParlaMint: Comparable Parliamentary Corpora
A mDeBERTa model fine-tuned to classify positive and negative moral and emotional appeals in political communication.
This repository contains code used in the exam for the course Data Science, Prediction, and Forecasting at the MSc Cognitive Science programme at Aarhus University. Contributors: Pernille Brams.
Assignments for course at AU in python and data structures
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.