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!
dplyr
dplyr: A grammar of data manipulation
fieldtrip_test_scripts
testing fieldtrip with open meg-eeg datasets
hBayesDM
Hierarchical Bayesian modeling of RLDM tasks, using R & Python
Introductory_Statistics_WithR
Introductory Statistics Notebooks with R
jspsych-psychophysics
A jsPsych plugin for psychophysics
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
rustlings
:crab: Small exercises to get you used to reading and writing Rust code!
tensorflow
An Open Source Machine Learning Framework for Everyone