A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.

This project contains the code for a deep learning architecture to analyze EEG data.

Complex-valued Morlet wavelets for EEG signal analysis and feature engineering.

Code for spectral analysis of EEG using Morlet wavelets based on the frequency-based parametrization presented in [Bomatter et al 2024, eBioMedicine](https://doi.org/10.1016/j.ebiom.2024.105259)

Complex-valued Morlet wavelets for EEG signal analysis and feature engineering.

Interactive 2D scatter plot widget for Jupyter Lab and Notebook. Scales to millions of points!

Utility to generate plots with categorical variables using Altair.

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

Deep learning software to decode EEG, ECG or MEG signals

PyTorch implementation of the wavelet analysis from Torrence & Compo (1998)

Code for "Robust EEG processing with dynamic spatial filtering", Banville et al. 2021

Automatic labeling of ICA components in Python.

M/EEG brain age benchmark paper

DoubleML - Double Machine Learning in Python

Uplift modeling and causal inference with machine learning algorithms

Quasi-Oracle Estimation of Heterogeneous Treatment Effects

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

Covariance Data Frames for Predictive M/EEG Pipelines

Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.

A new backend for the 2D data browser in MNE-Python

Automatic differentiation + optimization

A Julia package for fitting (statistical) mixed-effects models

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

NICE project for MEG and EEG data analysis.

library and scripts for data analysis and visualization for Engemann at et al. 2020

Automatically process entire electrophysiological datasets using MNE-Python.

A Unified Framework for Random Forest Prediction Error Estimation

OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.