chocooni

braindecode

Deep learning software to decode EEG, ECG or MEG signals

DeepDG

DomainBed

DomainBed is a suite to test domain generalization algorithms

EEG-Conformer

EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.

eeg_at_benchmark

Generalization-Causality

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

moabb

Mother of All BCI Benchmarks

one-pixel-attack-keras

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

pypop

PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/

robustlearn

Robust machine learning for responsible AI

chocooni/braindecode

Deep learning software to decode EEG, ECG or MEG signals

chocooni/DeepDG

chocooni/DomainBed

DomainBed is a suite to test domain generalization algorithms

chocooni/EEG-Conformer

EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.

chocooni/eeg_at_benchmark

chocooni/Generalization-Causality

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

chocooni/moabb

Mother of All BCI Benchmarks

chocooni/one-pixel-attack-keras

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

chocooni/pypop

PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/

chocooni/robustlearn

Robust machine learning for responsible AI

chocooni/transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

chocooni/vision_transformer

chocooni/WOODS

Benchmarks for Out-of-Distribution Generalization in Time Series Tasks