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ecg-compression

Dynamic ECG monitoring will produce a lot of data, and ECG compression becomes very important with the increasing of sampling frequency and resolution. I present ECG compression and reconstruction algorithm with high compression ratio and low loss. The filter module consists of a low-pass filter, a trap filter and a median filter, which filters out the main noise in the ECG signal. The eighth-order low pass Butterworth filter is used to filter out the EMG interference with a cut-off frequency of 75hz. The sixth-order Band Butterworth filter is used to filter out the power interference with lower limit and upper limit of 49 Hz and 51 Hz respectively. The bipolar median filter is used to correct the drift of breathing.

image-classification-using-svm

This application uses LIBSVM and PIL to perform image classification on a set of images.

inception-score-pytorch

Inception Score for GANs in Pytorch

inception_mode_score_pytorch

machine-learning-and-pattern-recognition

Implementation of Machine Learning Algorithms

matlab-mnist-two-layer-perceptron

A two layer perceptron implemented in MatLab to recognize handwritten digits based on the MNIST dataset.

supportvectormachine

SVM for Image classification

tensorflow-tutorial

Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.

wisconsin-breast-cancer-ml

Breast cancer diagnosis using ensemble learning methods