scikit-adaptation / skada-benchLinks
Domain Adaptation benchmark
☆25Updated last year
Alternatives and similar repositories for skada-bench
Users that are interested in skada-bench are comparing it to the libraries listed below
Sorting:
- Domain adaptation toolbox compatible with scikit-learn and pytorch☆147Updated 2 weeks ago
- Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn…☆217Updated last year
- ☆16Updated this week
- This repository contains research code for the paper "Generating realistic neurophysiological time series with denoising diffusion probab…☆84Updated 7 months ago
- M/EEG brain age benchmark paper☆29Updated 2 years ago
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆59Updated 3 years ago
- ☆13Updated 2 years ago
- Benchmark for Brain Computer Interface methods☆19Updated 10 months ago
- Dimensionality reduction on manifold of SPD matrices, based on pymanopt implementation☆12Updated 2 years ago
- Python code for the Riemannian Procrustes Analysis (RPA) method☆49Updated last year
- A repo documenting EEG-Dash data and its usage☆55Updated this week
- PyTorch implementation of "Seeing the forest and the tree: Building representations of both individual and collective dynamics with trans…☆14Updated 2 years ago
- Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts".…☆18Updated 2 years ago
- A curated list of foundation models, datasets, and tools for biosignals☆85Updated last week
- This is the NeurIPS BEETL repository (https://beetl.ai)☆35Updated 2 years ago
- This is a matlab implementation of our article, titled "DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning", which has …☆14Updated 3 years ago
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆69Updated 6 months ago
- ☆12Updated 2 years ago
- Code helper for BEETL competition☆12Updated 4 years ago
- Convolution dictionary learning for time-series☆133Updated last month
- Covariance Data Frames for Predictive M/EEG Pipelines☆33Updated last year
- Implementation of the InterpretTime framework☆52Updated 2 years ago
- Codebase for publication "Neural decoding from stereotactic EEG: accounting for electrode variability across subjects" @ NeurIPS (2024)☆18Updated 6 months ago
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆22Updated last year
- Lib for event and sample based performance metrics☆22Updated last year
- Submission to the Motor Imagery track of BEETL competition, organized within NeurIPS 2021☆12Updated 3 years ago
- Implementation for the paper 'Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport' (ICL…☆18Updated 11 months ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆22Updated 2 years ago
- [KBS 2025] Time-Frequency Transform Based Cross-Subject EEG Data Augmentation☆18Updated 4 months ago
- PyTorch implementation for the paper "The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG…☆14Updated 3 months ago