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Analysis of Nanomechanical Data by Atomic Force Microscopy
Ginger Lab's Igor Code for Asylum AFMs
Autoencoder formato da alcuni layer LSTM per anomaly detection su serie temporali, dati ricavati da segnali PPG per identificazione della Sepsi.
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".
A curated list of awesome Deep Learning tutorials, projects and communities.
Causal Learning: A new ML framework utilizing cooperative networks
Python script and GUI to open and batch process single cell force spectroscopy curves obtaine by Atomic Force Microscopy
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".
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.
Source material for Python Like You Mean it
Classification is the process of predicting the class of given data points. Classes are sometimes called as targets/ labels or categories.
Fitting and machine-learning based rating of AFM force-indentation data
Atomic Force Microscopy Analysis Platform
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
A conda-smithy repository for neurokit2.
LLM
Lightweight PPG Quality Assessment Unsupervised Anomaly Detection
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.
Scientific analysis of nanoscale materials imaging data
GUI for AFM data analysis with an emphasis on biological specimens
An Open Source Machine Learning Framework for Everyone
An AFM image analysis program to batch process data and obtain statistics from images
Repository for the cardiac model ToR-ORd
Python package for dataset imports from UCI ML Repository
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.