Tristan Glatard's repositories
conp-dataset
:open_file_folder: A DataLad dataset for CONP
2020AggregateMCA
Evaluating various aggregation methods for MCA-perturbed datasets
boutiques
A cross-platform descriptive command-line framework for applications
course-materials-2022
Materials for the 2022 NeuroDataScience Course (McGill QLSC612)
dask-boutiques-slurm
Notes on how to run Boutiques jobs on SLURM from a notebook using Dask
efficient-python
Notebook on efficient Python for data science
fmriprep-lts
A datalad repository that contains all materials to check for the stability of the fmriprep LTS version
fuzzy-fmriprep
Experiments with verificarlo and fmriprep (BrainHack 2020ish)
fuzzy-neurotools
Comparing tool variability and numerical variability in fMRI analyses results
livingpark-utils
A collection of utility functions to write LivingPark notebooks
markello_ppmisnf
Code supporting the recent preprint Markello et al., 2020
mri-bottleneck
Characterizing the performance bottleneck in neuroimaging pipelines
paper-big-data-engines
A paper comparing Dask and Spark
phd-thesis
Repository of my PhD Thesis
pmetric
experimentations with bootstrap and p-values
QLS612-Overview
The course website for QLS612
scikit-learn
scikit-learn: machine learning in Python
Sea-1
A file system in user space to provide data locality and in memory computing without application instrumentation
sklearn-dask
a notebook that uses dask to compute the SVD in ridgecv
TestDataLad
some default
zeighami-etal-2019
A notebook to replication Zeighami et al, 2019