Pinned Repositories
annotated_deep_learning_paper_implementations
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
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
Barbershop
Barbershop: GAN-based Image Compositing using Segmentation Masks (SIGGRAPH Asia 2021)
bci_sphero
BCI Sphero control using motor imagery
CNN_Image_class
CNN 图像多分类问题
eeg-adapt
Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".
eeg-notebooks
A collection of classic EEG experiments implemented with Python and Jupyter notebooks
game-helper
介绍入门级游戏辅助的原理，内附有2018年2月dnf辅助C++源码
higher
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
machine-learning-course-projects
Including some machine learning and artificial intellegent examples
leoeooe's Repositories
leoeooe/bci_sphero
BCI Sphero control using motor imagery
leoeooe/annotated_deep_learning_paper_implementations
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
leoeooe/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
leoeooe/Barbershop
Barbershop: GAN-based Image Compositing using Segmentation Masks (SIGGRAPH Asia 2021)
leoeooe/CNN_Image_class
CNN 图像多分类问题
leoeooe/eeg-adapt
Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".
leoeooe/eeg-notebooks
A collection of classic EEG experiments implemented with Python and Jupyter notebooks
leoeooe/game-helper
介绍入门级游戏辅助的原理，内附有2018年2月dnf辅助C++源码
leoeooe/higher
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
leoeooe/machine-learning-course-projects
Including some machine learning and artificial intellegent examples
leoeooe/meta_learning
leoeooe/Python-EEG-Handbook
Python脑电数据处理中文手册 - A Chinese handbook for EEG data analysis based on Python
leoeooe/TLBCI
Matlab source code of the paper "D. Wu, X. Jiang, R. Peng, W. Kong, J. Huang and Z. Zeng, Transfer Learning for Motor Imagery Based Brain-Computer Interfaces: A Complete Pipeline, Information Sciences, 2021, submitted."