smkia Goto Github PK

auto-sklearn

carla

CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

cbpktst

Cluster-Based Permutation Kernel Two-Sample Test

convnets-keras

dct_interpretation

The DCT orthogonal space is employed to increase the interpretability of sparse logistic regression model once applied to the MEG data

decmeg2014

Official Repository of the code associated with the data analysis competition DecMeg2014

deeppy

Deep learning in Python

dnm

Deep normative modeling of neuroimaging data using neural processes for mixed-effect modeling

fieldtrip

The MATLAB software toolbox for MEG and EEG analysis

gpmat

Matlab implementations of Gaussian processes and other machine learning tools.

ica-aroma

Software package of ICA-AROMA; a data-driven method to identify and remove motion-related independent components from functional MRI data.

interpretability

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.

kernel_two_sample_test

A python implementation of the kernel two-samples test as in Gretton et al 2012 (JMLR).

ktst

Kernel two sample test MATLAB code for MEG data

malsar

Multi-task learning via Structural Regularization

megdecoder

A MATLAB GUI for decoding MEG signal

mtjfl_meg

mtl_interpretation

mtnorm

multivariate-hypothesis-testing

Multivariate-Hypothesis-Testing

neurocombat

Harmonization of multi-site imaging data with ComBat (Python)

nispat

Spatial methods for python

pygp_kronsum