Name: Annie G. Bryant
Type: User
Company: University of Sydney
Bio: Hi! I'm a PhD candidate in the @DynamicsAndNeuralSystems lab, studying data science applications for neurodegenerative diseases, particularly Alzheimer's 👩🔬
Twitter: AnnieGBryant
Location: Sydney, AU
Annie G. Bryant's Projects
catch-22: CAnonical Time-series CHaracteristics
catchaMouse16: CAnonical Time-series CHaracteristics for Mouse fMRI
A pythonic 3D viewer to visualize and plot brains and neuroimaging data
CNS 2022: pyspi tutorial and workshop on highly comparative time series analysis to quantify resting-state dynamical signatures of schizophrenia
Repository containing code related to the Cogitate Main Scientific Paper 1.
Code to reproduce Bryant & Whyte submission to the 2024 Cogitate Connectivity Challenge with MEG data
DA5020 Fall 2019 Final Project
Final project to fulfill course requirements for DA5030: Introduction to Data Mining and Machine Learning at Northeastern University.
fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
Highly comparative time-series analysis
Analysis code for connecting time-series properties of BOLD dynamics to connectivity properties using human fMRI and DWI data from HCP
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Code and reports corresponding to PhD coursework
python implementation of catch22
Comparative analysis of pairwise interactions in multivariate time series.
Simple scripts for submitting multiple parallel jobs to a HPC (using PBS)
scikit-learn: machine learning in Python
R package for Tools for Handling Extraction of Features from Time series (theft)