Kamran-Afzali
Quantitative psychologist and data-scientist, I develop intelligent assessment and decision-making tools in the context of human behavior.
Kamran-Afzali's Stars
mml-book/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
NeuromatchAcademy/course-content-dl
NMA deep learning course
NeuromatchAcademy/course-content
NMA Computational Neuroscience course
sscardapane/reprodl2021
Host repository for the "Reproducible Deep Learning" PhD course
bnsreenu/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
CamDavidsonPilon/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 ;)
rladies/meetup-presentations_freiburg
R-Ladies Freiburg (Germany) workshop materials
wlandau/targets-minimal
A minimal example data analysis project with the targets R package
mtoto/ufc.stats
UFC Statistics conveniently packaged as a tidy dataframe.
jonclayden/RNifti
Fast R and C++ access to NIfTI images
calculquebec/cq_formation_spark
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
illdopejake/RS2018_Nilearn_tutorial
Nilearn tutorial for the Resting State and Brain Connectivity 2018 satellite Machine Learning workshop
tfunck/minc_keras
minc_keras is a code base that was developped during a hackathon to facillitate the implementation of deep learning models for brain imaging with the Keras package.
PsychoinformaticsLab/pliers
Automated feature extraction in Python
UNFmontreal/Dcm2Bids
Reorganising NIfTI files from dcm2niix into the Brain Imaging Data Structure
mtl-brainhack-school-2018/teaching_material
slides and notebooks for tutorials and pitches
mila-iqia/dlschool-ivadofr-h18
Ivado École d'hiver IVADO/MILA en apprentissage profond 2018