Competing Risks and Survival Analysis

fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

⚡ TabPFN: Foundation Model for Tabular Data ⚡

Mother of All BCI Benchmarks

Deep learning software to decode EEG, ECG or MEG signals

Prepping tables for machine learning

Helper for managing arXiv papers in Zotero

A Framework for Bilevel Optimization on Riemannian Manifolds (NeurIPS 2024)

ML models + benchmark for tabular data classification and regression

HiDimStat: High-dimensional statistical inference tool for Python

Utilities for interacting with PyPI

Functional alignment and template estimation library for functional Magnetic Resonance Imaging data

Evaluation of Generative Models

TorchDR - PyTorch Dimensionality Reduction

Extended functionalities for Optuna in combination with third-party libraries.

A scikit-learn compatible neural network library that wraps PyTorch

Python 3.8+ toolbox for submitting jobs to Slurm

Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets

Geodesic Optimization for Predictive Shift Adaptation on EEG data

Awesome Domain Adaptation Python Toolbox

Repository for CARTE: Context-Aware Representation of Table Entries

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

Domain Adaptation benchmark

Minimal scripts available for predictions on multiple datasets

Machine learning for NeuroImaging in Python

Calibrated confidence estimation under distribution shift in semi-supervised learning

Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain data (fMRI)

PyTorch library for solving imaging inverse problems using deep learning