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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.

The best free AI courses and certificates for upskilling in 2026 - and I've tried them all

I've worked with AI for decades and have a master's degree in education. Here are the top free AI courses online that I recommend - and why.
IEEE

An Adaptive Amplitude-Modulated Pseudo-Random Binary Sequence Excitation for Converter-Based Impedance Spectroscopy Characterization of Photovoltaic Modules

Abstract: Pseudo-random binary sequence (PRBS) has been implemented through DC-DC converters for internal impedance identification and shown to be faster and easier to implement than analogue multiple ...
GitHub

TomographicImaging/CCPi-Regularisation-Toolkit

The package comes as a CMake project and additional wrappers for Python and Matlab. Please see more detailed Installation information. One can also use some of the ...
IEEE

GANFlow: A Hybrid Model for SAR Image Target Open-Set Recognition Based on GAN and the Flow-Based Module

Abstract: Most synthetic aperture radar (SAR) automatic target recognition (ATR) methods can achieve good recognition results only under the closed-set assumption. However, in practical applications, ...
GitHub

JPEWdev/pyhid-usb-relay

Relay configuration is read from the file $XDG_CONFIG_HOME/usb-hid-relay/config.yaml (usually ~/.config/usb-hid-relay/config.yaml). This YAML file should contain a ...