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Pytorch🍊🍉 is delicious, just eat it! 😋😋
Exploration into the Scaling Value Iteration Networks paper, from Schmidhuber's group
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
[深度应用]·首届中国心电智能大赛初赛开源Baseline(基于Keras val_acc: 0.88)
Alzheimer’s Disease (AD) is the most common neurodegenerative disease. It is typically late onset and can develop substantially before diagnosable symptoms appear. Electroencephalogram (EEG) could …
Blind source separation of audio signals using LSTM
DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
Python implementation of FASTER method for EEG artifact rejection
Motor Imagery Classification based on EEG at Columbia Medical Center
Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network
EEG data processing and it's convolution using AutoEncoder + CNN + RNN
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
Deep Learning EEG Playground
Supplementary material for systematic literature review on deep learning and EEG.
Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
A Collection Python EEG (+ ECG) Analysis Utilities for OpenBCI and Muse
Converting real-time EEG into sounds, music and visual effects
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
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python