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  • 👋 Hi, I’m @DayBright-David
  • 👀 I’m interested in Iot and machine learning.
  • 🌱 My goal is to find solution to real world problem using brain-computer interface techniques.
  • 📫 [email protected]

Bo Dai

 Actions speak louder than words.

Captain_David's Projects

2d-tan icon 2d-tan

AAAI‘20 - Learning 2D Temporal Localization Networks for Moment Localization with Natural Language

addernet icon addernet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

ai-edu icon ai-edu

AI education materials for Chinese students, teachers and IT professionals.

arl-eegmodels icon 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

bodai.github.io icon bodai.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

braindecode icon braindecode

A deep learning toolbox to decode raw time-domain EEG.

candock icon candock

尝试多种不同的深度神经网络结构(如LSTM,RESNET,DFCNN等)对单通道EEG进行自动化睡眠阶段分期.我们相信这些代码同时可以用于其他生理信号(如ECG,EMG等)的分类.希望这将有助于您的研究.

chinesenlpcorpus icon chinesenlpcorpus

中文自然语言处理数据集,平时做做实验的材料。欢迎补充提交合并。

d2l-pytorch icon d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

deep-bci icon deep-bci

An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning

deep-forest icon deep-forest

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

deepee icon deepee

Differentially Private Deep Learning in PyTorch

dive-into-dl-pytorch icon dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dnnbrain icon dnnbrain

Use DNN to study the brain and use brain measurement to evaluate DNN

eeg icon eeg

Scripts for EEG analysis.

eeglearn icon eeglearn

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

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