leoeooe Goto Github PK

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

meta_learning

python-eeg-handbook

Python脑电数据处理中文手册 - A Chinese handbook for EEG data analysis based on Python

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."