Soyeon BAK's repositories
arl-eegmodels
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
BIOT
NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.
catppuccin
😸 Soothing pastel theme for the high-spirited!
cdfsl-benchmark
Forked repository for developing CD-FSL frameworks / this repository is originated from Cross-Domain Few-Shot Learning Benchmarking System (ECCV 2020) and created by IBM AI Team
HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
IguanaTex
A PowerPoint add-in allowing you to insert LaTeX equations into PowerPoint presentations on Windows and Mac
MAML-Pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
Meta-Learning-for-EEG-Classification-in-Schizophrenia
Notebooks and pre-processing code for a meta learning paper/project involving the classification of EEG spectrograms.
NN_classification_starter_kit
Simple project starter kit for 2022-2R APPLICATIONS AND PRACTICE IN NEURAL NETWORKS
XAI611_CDFSL
Reduced version of CDFSL for XAI611 project II ( most python files are originated from https://github.com/IBM/cdfsl-benchmark )
URL
Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022