Christina Dimitriadou's repositories
personal_notes
A few .md files with personal and googled tips
matlab_notes
personal Matlab scripts
latex_templates
A collection of latex and overleaf templates
tutorial-bayesian-inference
A collection of simple implementation of various inference methods
FSLpipeline_masters
The pipeline that I used to analyse my fMRI data for my master's project
ggplotpy
ggplot port for python
bids-specification
Brain Imaging Data Structure (BIDS) Specification
christinadelta
Hi there!
Deep-Emotion
Facial Expression Recognition Using Attentional Convolutional Network, Pytorch implementation
dplyr
dplyr: A grammar of data manipulation
fieldtrip_test_scripts
testing fieldtrip with open meg-eeg datasets
fmriprep
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.
hBayesDM
Hierarchical Bayesian modeling of RLDM tasks, using R & Python
hdepilepsy_paperscripts
scripts used to create figures for the hd-epilepsy review paper
Introductory_Statistics_WithR
Introductory Statistics Notebooks with R
MEEGPy_MNE
Material for Pybrain 2020 MNE-Python workshop
NeuroRA
A Python Toolbox for Multimode Neural Data Representation Analysis
pingouin
Statistical package in Python based on Pandas
precourse
A repo for the pre-course work at home exercises
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
probml-notebooks
Notebooks for "Probabilistic Machine Learning" book
Py_EEGanalyses
Guide and pipeline for preprocessing and analysing M/EEG data with python
pymdptoolbox
Markov Decision Process (MDP) Toolbox for Python
pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
tensorflow
An Open Source Machine Learning Framework for Everyone