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alphacsc

Convolution dictionary learning for time-series

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

better-genshin-impact

🍨BetterGI · 更好的原神 - 自动拾取 | 自动剧情 | 全自动钓鱼(AI) | 全自动七圣召唤 | 自动伐木 | 自动派遣 | 一键强化 | 支持云原神

canonical_classifier

This repository is provided for replicating the canonical classifier of SSVEP signals.

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

deep-ssvep-bci

Official Repository of 'A Deep Neural Network for SSVEP-Based Brain-Computer Interfaces'

dreamdiffusion

Implementation of “DreamDiffusion: Generating High-Quality Images from Brain EEG Signals”

machine-learning-toolbox

This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.

pinyin-list-match

中文字符转为拼音，计算与拼音列表的levenshtein距离并进行匹配

ssvep-mscca-mstrca

ssvep-neural-generative-models

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

ssvep-tlcca

Matlab code of our IEEE TASE paper "Wong, C. M., Wang, Z., Rosa, A. C., Chen, C. P., Jung, T. P., Hu, Y., & Wan, F. (2021). Transferring subject-specific knowledge across stimulus frequencies in SSVEP-based BCIs. IEEE Transactions on Automation Science and Engineering, 18(2), 552-563."

trca-ssvep

Task-related component analysis (TRCA)-based algorithm for detecting steady-state visual evoked potentials (SSVEPs) toward a high-speed brain-computer interface (BCI).

wasserstein-dictionary-learning

A matlab toolbox to perform Wasserstein Dictionary Learning or NMF