yushanlu Goto Github PK

100-days-of-ml-code

100 Days of ML Coding

breast-cancer-identification

Breast Cancer Identification Based on GLCM Texture Feature of Mammogram Image using Backpropagation Artificial Neural Network and K-Nearest Neighbor (KNN)

cnn-lda-svm-knn-for-emg

A synthetic approach is proposed for hand motion recognition with surface EMG signals. We used CNN features which were automatically extracted from the raw input image for three traditional classifiers: Linear Discriminant Analysis (LDA), Support Vector Machine (SVM) and K Nearest Neighbor (KNN).

covid-ct

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

cpsc_scheme

ct-intensity-segmentation

Introduction to medical image processing with Python: CT lung and vessel segmentation without labels https://theaisummer.com/medical-image-python/

data_science_for_all

Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeppath

Classification of Lung cancer slide images using deep-learning

digital-image-processing

ecg

ecg-authentication-for-implanted-medical-devices

ECG authentication for IMDs using LSTM CNN on the MIT-BIH Arrythmia Database

ecg_2

eeg_emotion_classification_use_cnn-and-rnn

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

gpmkl

Integrating Genomic Data and Pathological Images to Effectively Predict Breast Cancer Clinical Outcome

har-keras-cnn

heart-disease-prediction-model

Cardiovascular diseases incidence probability estimation model

learn

my learning journey

machine-learning-with-python

Python code for common Machine Learning Algorithms

medical-data

mutationalpatterns

R package for extracting and visualizing mutational patterns in base substitution catalogues

olenetlib

This is the OleNetLib belongs to OleNet

oncosig

Code to run OncoSig Analyses

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

python_glcmfeature

This .py file describe how to use GLCM (Gray level co-occurrence matrix) to analyze texture information of an image

replacegooglecdn

:cancer: 一个 Chrome 插件：将 Google CDN 替换为国内的。

scgeatoolbox

scGEAToolbox: Matlab toolbox for single-cell gene expression analyses

semg-neural-net

Neural network for classifying electromyographic signals into distinct gestures. Additionally, a comparison of CNN vs LSTM implementations.

semg_deeplearning

sEMG-based gesture recognition using deep learnig