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 ;)

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

A game theoretic approach to explain the output of any machine learning model.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Fast and flexible AutoML with learning guarantees.

Computations and statistics on manifolds with geometric structures.

TernausNetV2: Fully Convolutional Network for Instance Segmentation

Learn Nipype with these tutorial notebooks - go here to see them online -->

Neuroimaging widgets for jupyter notebooks

Code for simulations and empirical analyses for the article "How to control for confounds in decoding analyses of neuroimaging data"

Jupyter notebook for the paper Scipy 2017

Toy example of Freesurfer nireports

Curated list of open-access databases with human structural MRI data