machine-learning-and-simulation
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Ceyron
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
In the [elbo_interactive_plot.py](https://github.com/GStechschulte/machine-learning-and-simulation/blob/main/english/probabilistic_machine_learning/elbo_interactive_plot.py) script, the values in the variable KL_VALUES were computed using approximate KL-Divergence. In the tutorial on approximating the KL-Divergence, scalar values were returned, and not multiple values...
In these three small simulation scripts: * https://github.com/Ceyron/machine-learning-and-simulation/blob/main/english/simulation_scripts/kolmogorov_turbulence.jl * https://github.com/Ceyron/machine-learning-and-simulation/blob/main/english/simulation_scripts/stable_fluids_fft.jl * https://github.com/Ceyron/machine-learning-and-simulation/blob/main/english/simulation_scripts/stable_fluids_fft_3d.jl the Fast Fourier Transformation (FFT) was used slightly incorrectly. When setting up the spatial mesh, points on both...
Hi @Ceyron I love the videos! Wrote up the derivation for the ODE adjoints and wrote a derivation for getting gradients for an optimal controller u(t) that influences the ODEs....
May I please ask if your code has the capability to be customized for porous media geometry as it is quite common to simulate fluid flow in porous media? The...
Hi @Ceyron, I watched your amazing video on Youtube and I wrote my own implementation in Taichi language : https://gist.github.com/houkensjtu/dc00a6b8ae3d819b9295d68c55df0a29 Most of the code structures resemble your Numpy version, but...
