Pinned Repositories
agency_connectivity
autoreject_pres
BBSRC-git-demo
biomeg_class
intro_to_scientific_computing
malthe_alpha_project
Analysis files for malthes MEG projects
mixed_model_eeg_simulation
Scripts for simulation data to compare ANOVA and Mixed models for EEG analysis
mne_compare_averages
MadsJensen's Repositories
MadsJensen/intro_to_scientific_computing
MadsJensen/mixed_model_eeg_simulation
Scripts for simulation data to compare ANOVA and Mixed models for EEG analysis
MadsJensen/agency_connectivity
MadsJensen/BBSRC-git-demo
MadsJensen/CAA
MadsJensen/doom-emacs
An Emacs framework for the stubborn martian hacker
MadsJensen/feat_selction_meeg
MadsJensen/introduction_to_beamforming
Introductory workshop to source localization with beamfomers.
MadsJensen/ks_decode
MadsJensen/lang_pd_dbs
MadsJensen/MadsJensen.github.io
MadsJensen/MEG_Nord_example_code
The code for the MEG Nord example
MadsJensen/missing-feature
MadsJensen/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
MadsJensen/mne-python
MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
MadsJensen/multipy
Multiple hypothesis testing in Python
MadsJensen/nbdev_test
A test of nbdev
MadsJensen/osf_python
An python package to interface with the Open Science Framework
MadsJensen/pyfin_pandas_intro
Jupyter Notebook for a short introduction of the Pandas Dataframes
MadsJensen/repro17
script from the reproducibility 2017 course
MadsJensen/RP_scripts
MadsJensen/scientific_computing_basics
Introduction to basic concepts in data science
MadsJensen/shap
A unified approach to explain the output of any machine learning model
MadsJensen/sim_data
An python package to simulate data based on real M/EEG data
MadsJensen/social_robots_uncanny
MadsJensen/std_cfin
standard function to use at CFIN
MadsJensen/stormdb-python
Python classes for interacting with the STORM database at CFIN
MadsJensen/teneto
Temporal Network Tools
MadsJensen/visbrain
A multi-purpose GPU-accelerated open-source suite for brain data visualization
MadsJensen/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow