Powerful system-level package manager for Linux, macOS and Windows written in Rust – building on top of the Conda ecosystem.

A playbook for systematically maximizing the performance of deep learning models.

This dataset is a synthetic machining feature dataset for sheet metal parts in the paper "Adaptive recognition of machining features in sheet metal parts based on a graph class-incremental learning…

A collection of resources to study Transformers in depth.

Higher-Order Interactions

Superlets algorithm for time-frequency analysis implemented in JAX/Python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

Connectivity algorithms that leverage the MNE-Python API.

Frequency domain estimation and functional and directed connectivity analysis tools for electrophysiological data

Framework for Information Theoretical analysis of Electrophysiological data and Statistics

Higher-order interactions toolbox

N-D labeled arrays and datasets in Python

Mirror repository for EMD package: issue-tracking and development happens at https://gitlab.com/emd-dev/emd

Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats

Brainhack-Marseille website

A python tutorial on bayesian modeling techniques (PyMC3)

computes most of information functions (joint entropy, conditional, mutual information, total correlation information distance) and deep information networks

You wished you hadn't used jet when you saved that figure? Here is a quick fix!

Core statistical text for Statistical Thinking in the 21st Century

MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.

Parameterizing neural power spectra into periodic & aperiodic components.

Scientific colormaps for making accessible, informative and 'cmashing' plots

The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using information theory.

Cycle-by-cycle analysis of neural oscillations.

Statistical package in Python based on Pandas

Python package for power mapping and functional connectivity using DICS

YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.

Functions for calculating mutual information and other information theoretic quantities using a parametric Gaussian copula.

QOwnNotes is a plain-text file notepad and todo-list manager with Markdown support and Nextcloud / ownCloud integration.