james4github

james4github's Stars

• svvema/1-D-CNN-Multilabel-Classification

  Signal classification by CNN and Multilabel

  Language:Jupyter Notebook1

• mandrakedrink/ECG-Synthesis-and-Classification

  1D GAN for ECG Synthesis and 3 models: CNN, LSTM, and Attention mechanism for ECG Classification.

  Language:Python10915

• carpedm20/DCGAN-tensorflow

  A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

  Language:JavaScript7.2k2.6k

• Newmu/dcgan_code

  Deep Convolutional Generative Adversarial Networks

  Language:Python3.4k693

• vdumoulin/conv_arithmetic

  A technical report on convolution arithmetic in the context of deep learning

  Language:TeX14.1k2.3k

• nicolas-gervais/data-augmentation-with-gan-and-vae

  We're generating faces with Pytorch GAN implementations

  Language:Jupyter Notebook133

• neerajwagh/eeg-gcnn

  Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

  Language:Python16131

• dfreer15/DeepEEGDataAugmentation

  Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation including intentionally imbalancing a dataset, and appending modified data to the training set.

  Language:Python275

• tczhangzhi/PyTorch-GANSER

  Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"

  Language:Jupyter Notebook646

• kumar-shridhar/PyTorch-BayesianCNN

  Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

  Language:Python1.4k325

• SuperBruceJia/EEG-DL

  A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

  Language:Python967225

• ambitious-octopus/MI-EEG-1D-CNN

  A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes plus a 'baseline' class) using a data augmentation algorithm and a limited number of EEG channels. Paper: https://doi.org/10.1088/1741-2552/ac4430

  Language:Python16018

• rslim087a/PyTorch-for-Deep-Learning-and-Computer-Vision-Course-All-Codes-

  PyTorch for Deep Learning and Computer Vision Course

  Language:Jupyter Notebook252234

• LukeDitria/CNN-VAE

  Variational Autoencoder (VAE) with perception loss implementation in pytorch

  Language:Python11318

• leoniloris/1D-Convolutional-Variational-Autoencoder

  Convolutional Variational Autoencoder for classification and generation of time-series

  Language:Jupyter Notebook398

• nikk-nikaznan/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

  Language:Python6627

• ChristophReich1996/ECG_Classification

  Official and maintained implementation of the paper "Exploring Novel Algorithms for Atrial Fibrillation Detection by Driving Graduate Level Education in Medical Machine Learning" (ECG-DualNet) [Physiological Measurement 2022, EMBC 2023].

  Language:Python599

• eeg-augmentation-benchmark/eeg-augmentation-benchmark-2022

  Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive models on EEG: a systematic comparison", 2022).

  Language:Python394

• arkanivasarkar/EEG-Data-Augmentation-using-Variational-Autoencoder

  Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals

  Language:Jupyter Notebook3810

• emadeldeen24/AttnSleep

  [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

  Language:Python20062

• AITRICS/EEG_real_time_seizure_detection

  Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)

  Language:Python8130

• rsyamil/timeseries-rnn

  Time-series forecasting with 1D Conv model, RNN (LSTM) model and Transformer model. Comparison of long-term and short-term forecasts using synthetic timeseries. Sequence-to-sequence formulation.

  Language:Jupyter Notebook278

• hfawaz/dl-4-tsc

  Deep Learning for Time Series Classification

  Language:Python1.6k570

• animikhaich/ECG-Atrial-Fibrillation-Classification-Using-CNN

  This is a CNN based model which aims to automatically classify the ECG signals of a normal patient vs. a patient with AF and has been trained to achieve up to 93.33% validation accuracy.

  Language:Jupyter Notebook4719

• sagar448/Keras-Convolutional-Neural-Network-Python

  A guide to implementing a Convolutional Neural Network for Object Classification using Keras in Python

  Language:Python2216

• sharmi1206/covid-19-analysis

  Covid-19 India's statewide analysis with census data 2011 and Kaggle data

  Language:Jupyter Notebook1614

• harryjdavies/Python1D_CNNs

  1D convolutional neural networks for activity recognition in python.

  Language:Python263

• JackAndCole/ECG-Classification-Using-CNN-and-CWT

  ECG Classification, Continuous Wavelet Transform, CWT, Convolutional Neural Network, CNN, Arrhythmia, Heartbeat classification

  Language:Python6618

• smousavi05/Denoising-BTwavelet

  This repository contains MATLAB scripts and sample seismic data for appying seismid denoising proposed in: "Hybrid Seismic Denoising Using Higher‐Order Statistics and Improved Wavelet Block Thresholding"

  Language:MATLAB3823

• taspinar/siml

  Machine Learning algorithms implemented from scratch

  Language:Jupyter Notebook484259