jona-sassenhagen Goto Github PK

multicore-tsne

Parallel t-SNE implementation with Python and Torch wrappers.

mypy

neurodocker

Generate custom Docker and Singularity images, and minimize existing containers.

nilearn

Machine learning for NeuroImaging in Python

pandas-ml

pandas, scikit-learn, xgboost and seaborn integration

parsr

Transforms PDF, Documents and Images into Enriched Structured Data

phijona---gamma

philistine

Mirror of https://gitlab.com/palday/philistine/

pltr_dr_demo

Clone of a foundry repository to train and score models.

popsi

Frankfurt Psychology Department Open Science Initiative

portfolio

Sometimes I analyse data - because I am interested in a quantitative question, or want to learn a new skill.

pyriemann

Python package for covariance matrices manipulation and Biosignal classification

python3-krakenex

Exchange API for Kraken.com, Python 3

python_for_psychologists

Python for Psychologists teaching materials

rerp_review

Code for my Language and Cognitive Processes paper on distributed-lags regression modelling for language-associated brain data

sasica

SemiAutomatic Selection of Independent Components for Artifact correction in the EEG

sassenhagen_blything_lieven_ambridge_collabra

Code for our Collabra paper

scikit-learn

scikit-learn: machine learning in Python

scipy

Scipy library main repository

sematch

semantic similarity framework for knowledge graph

sent2vec

General purpose unsupervised sentence representations

shap

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

signalbox-example-project

signalbox-example-project

skinny-bones-jekyll

A Jekyll starter with a variety of flexible layouts and components.

skip-thoughts

Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"

sprint2019

MNE Code Sprint 2019 @ Hosted at Facebook

stabflex_paradigm

Presentation files for StabFlex paradigm used in Armbruster et al. (2012)

statfail

Code, text and shiny app underlying our Brain & Language paper (Sassenhagen & Alday, 2016) on a common mistake in covariate control for statistical analysis of cognitive/linguistic experiments

test_jekyll_2

test_jekyll_3