Want to understand how neural networks actually learn? This video breaks down forward and backward propagation in a simple, visual way—perfect for beginners and aspiring AI engineers! #NeuralNetworks ...

julia.py This code displays the Julia set. It uses the kandinsky module. mandelbrot_nap0.py There is a official Numworks Mandelbrot script. This is a different version made from scratch. Uses the ...

Traveling-wave parametric amplifiers (TWPAs) are electronic devices that boost weak microwave signals (i.e., electromagnetic waves with frequencies typically ranging between 1 and 100 GHz). Recently, ...

Abstract: Backward reachability analysis computes the set of states that reach a target set under the competing influence of control inputs and disturbances. Depending on their interplay, the backward ...

We present FARR (Finite-difference time-domain ARRay), an open source, high-performance, finite-difference time-domain (FDTD) code. FARR is specifically designed for modeling radio wave propagation in ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.