Soyeon BAK (aylameansme)

aylameansme

Geek Repo

Company:@MAILAB-korea

Location:Seoul, Republic of Korea

Home Page:http://mailab.korea.ac.kr/

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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

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BIOT

NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.

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catppuccin

😸 Soothing pastel theme for the high-spirited!

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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

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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.

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IguanaTex

A PowerPoint add-in allowing you to insert LaTeX equations into PowerPoint presentations on Windows and Mac

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MAML-Pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

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Meta-Learning-for-EEG-Classification-in-Schizophrenia

Notebooks and pre-processing code for a meta learning paper/project involving the classification of EEG spectrograms.

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NN_classification_starter_kit

Simple project starter kit for 2022-2R APPLICATIONS AND PRACTICE IN NEURAL NETWORKS

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XAI611_CDFSL

Reduced version of CDFSL for XAI611 project II ( most python files are originated from https://github.com/IBM/cdfsl-benchmark )

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URL

Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022

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