nerajbobra

PhysioNet-Cardiovascular-Signal-Toolbox

PhysioNet Cardiovascular Signal Toolbox

AudioMAE

This repo hosts the code and models of "Masked Autoencoders that Listen".

annotated-transformer

An annotated implementation of the Transformer paper.

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

FastConvMAE

grt

gesture recognition toolkit

labelImg

LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

MotionSenseHRV_v3

EEG-Emotion-Recognition

EEG data processing and it's convolution using AutoEncoder + CNN + RNN

Deep-Learning-Based-ECG-Annotator

Annotation of ECG signals using deep learning, tensorflow’ Keras

pydub

Manipulate audio with a simple and easy high level interface

attention_keras

Keras Layer implementation of Attention for Sequential models

ECG-Heartbeat-Classification-seq2seq-model

Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach

keract

Layers Outputs and Gradients in Keras. Made easy.

keras-attention

Keras Attention Layer (Luong and Bahdanau scores).

seq2seq-signal-prediction

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

keras-seq-2-seq-signal-prediction

An implementation of a sequence to sequence neural network using an encoder-decoder

TimeSeries-Seq2Seq-deepLSTMs-Keras

This project aims to give you an introduction to how Seq2Seq based encoder-decoder neural network architectures can be applied on time series data to make forecasts. The code is implemented in pyhton with Keras (Tensorflow backend).

Multivariate-Time-Series-forecast-using-seq2seq-in-TensorFlow

Multilabel-timeseries-classification-with-LSTM

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

pyfda

Python Filter Design Analysis Tool

LSTM-Music-Genre-Classification

Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch

understanding-lstm-autoencoder

Understanding an LSTM Autoencoder

DeepLearningForTimeSeriesForecasting

A tutorial demonstrating how to implement deep learning models for time series forecasting

github-do-not-ban-us

GitHub do not ban us from open source world :iran:

models

Models and examples built with TensorFlow

keras-vis

Neural network visualization toolkit for keras

rough

Create graphics with a hand-drawn, sketchy, appearance

TensorFlow-Tutorials-for-Time-Series

TensorFlow Tutorial for Time Series Prediction

openface

Face recognition with deep neural networks.