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21 Lessons, Get Started Building with Generative AI
12 Weeks, 24 Lessons, AI for All!
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
Quantified Self Personal Data Aggregator and Data Analysis
A toolkit for analysis, synthesis, and digitization of electrocardiogram images
A convolutional neural network to detect atrial fibrillation from a single-lead ECG
Pan Tompkins QRS Wave Detection Algorithm Python Implementation
CNN-LSTM based QRS detector for ECG signals
Notebook used in blogpost "Exploring Heart Rate Variability using Python"
Predicting respiratory rate using PPG and ECG data available on smart devices
Arduino module for taking ECG reading and analysis using python
Assessment of Electrocardiogram Beat Detectors Using Synthetic and Real-World Data