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audio-features

Features from audio: Spectrogram, (Wavelet Transform) Scalogram, (Q Transform) Spectrogram

bci_mi_wavelet_cnn

Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network

convnext-2020s

cryptocurrency-price-prediction

Cryptocurrency Price Prediction Using LSTM neural network

datapre

deep-learning-from-scratch

深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》

dl-workshop-series

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

ecg-arrythmia-classification-using-scalograms-and-cnn

ecg-classification-using-cnn-and-cwt

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

epileptic-seizure-detection

Deep Learning, Wavelet Analysis and Fourier Transforms for identification of abnormal EEG in Epilepsy patients

open-nirs-datasets

Open source data set for quantitative and qualitative analysis of near-infrared spectroscopy

svm-image-classification

Image Classification with `sklearn.svm`

transformer1dim

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

wavelets

Torrence & Compo Wavelet Analysis Software

wavelettransform_with_pywt

Wavelet Transform with pywt (Python)

yolov5

Efficient implementation of YOLOV5 in TensorFlow2

yolov5-1

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov5_in_tf2_keras

tf2-keras implement yolov5

zero-learning-fast-medical-image-fusion

An OpenCV and Pytorch implementation of Zero-Learning-Fast-Medical-Image-Fusion