ahmadalmazloum Goto Github PK

afmech-suite

Analysis of Nanomechanical Data by Atomic Force Microscopy

afmsoftware

Ginger Lab's Igor Code for Asylum AFMs

autoencoder-lstm-per-anomaly-detection-su-serie-temporali

Autoencoder formato da alcuni layer LSTM per anomaly detection su serie temporali, dati ricavati da segnali PPG per identificazione della Sepsi.

automatic-ecg-diagnosis

Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

causal-learning

Causal Learning: A new ML framework utilizing cooperative networks

cellforcespectroscopy

Python script and GUI to open and batch process single cell force spectroscopy curves obtaine by Atomic Force Microscopy

ecg-age-prediction

Scripts and modules for training and testing neural network for age prediction from the ECG. Companion code to the paper "Deep neural network-estimated electrocardiographic age as a mortality predictor".

emg_crosstalk_decomposition_workshop

Theis repository contains notebooks that was developed to teach how the Principal Component Analysis (PCA) and Independent Component Analysis (ICA) works and how them can be used to decompose high-density surface electromyogram (HD sEMG) signals using the well-known FastICA algorithm.

learning_python

Source material for Python Like You Mean it

machine-learning-classifications

Classification is the process of predicting the class of given data points. Classes are sometimes called as targets/ labels or categories.

nanite

Fitting and machine-learning based rating of AFM force-indentation data

nanolocz

Atomic Force Microscopy Analysis Platform

neurokit

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

neurokit2-feedstock

A conda-smithy repository for neurokit2.

notebooks

LLM

ppg-sqa-ee

Lightweight PPG Quality Assessment Unsupervised Anomaly Detection

ppgsignals

The PPG Signal Analysis Project develops **machine learning and deep learning models** for the regression of continuous target labels from photoplethysmography (PPG) signals, employing scripts for comprehensive data exploration and preprocessing, visualization, and regression model implementation.

pycroscopy

Scientific analysis of nanoscale materials imaging data

pyjibe

GUI for AFM data analysis with an emphasis on biological specimens

tensorflow

An Open Source Machine Learning Framework for Everyone

timeseriesanalysiswithpython

topostats

An AFM image analysis program to batch process data and obtain statistics from images

torord

Repository for the cardiac model ToR-ORd

ucimlrepo

Python package for dataset imports from UCI ML Repository