Lists (4)
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An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta
Conditional convolution (Dynamic convolution) in tensorflow2
A Library for Advanced Deep Time Series Models.
A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification
Implementation for the paper 'Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport' (ICLR 2023)
Evaluating the role of EEG preprocessing for deep learning applications.
Repository for Detail-revealing Deep Video Super-resolution https://arxiv.org/abs/1704.02738
Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive models on EEG: a systematic comparison", 2022).
Compute and plot standard EEG electrode positions.
Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)
Code for uncertainty estimation of EEG neural decoding models
Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition
Official code repository for the paper 'EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals' [NIPS 2024].
The open-source implementation of the NeurIPS 2022 paper Brain Network Transformer.
An implementation of the efficient attention module.
Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG
Repository for the SPDTransNet model, a Transformer-based architecture to analyze sequences of SPD matrices without loss of their Riemannian structure, and said model's SP-MHA (or Structure-Preserv…