Machine Learning & Simulation

@machinelearningsimulationDEAnalyzed

Machine learningmachine learningsimulationpythonjaxnumerical analysiscomputational fluid dynamicshigh-performance computing
Open on YouTube

Audience and activity

Subscribers34.4K
Views per video1.9Kmedian of the last 30
Views per subscriber0.06how many actually watch
Comments per video6median
Uploads per month0.8
Last upload1mo ago2026-08-26
Total views1.7M
Total videos216
Long-form / Shorts100% / 0%

Counts come from the YouTube Data API and are refreshed regularly; medians are computed from the channel's last 30 videos.

What Machine Learning & Simulation makes

Topics machine learning, simulation, python, jax, numerical analysis, computational fluid dynamics, high-performance computing

Explaining topics of 🤖 Machine Learning & 🌊 Simulation with intuition, visualization and code. ------ Hey, welcome to my channel of explanatory videos for Machine Learning & Simulation. I cover topics from Probabilistic Machine Learning, High-Performance Computing, Continuum Mechanics, Numerical Analysis, Computational Fluid Dynamics, Automatic Differentiation and Adjoint Methods. Many videos include hands-on coding parts in Python, Julia, or C++. The videos also showcase the application of the topics in modern libraries like JAX, TensorFlow Probability, NumPy, SciPy, FEniCS, PETSc and many more. All material is also available on the GitHub Repo of the channel: https://github.com/Ceyron/machine-learning-and-simulation Enjoy :) And please leave feedback. If you liked the videos, feel free to support the channel on Patreon: https://www.patreon.com/MLsim If you want to make a one-time donation, you can do so via PayPal: https://paypal.me/FelixMKoehler

Features other people

Recent videos

TitlePublishedViewsLength
My PhD Oral Defense Presentation: From Numerical Simulators to Neural Emulators and Back2026-08-2614.7K28 min
Neural-Hybrid Correctors with Solver-in-the-loop in JAX2026-08-0448121 min
Data Assimilation and Inverse Problems with Differentiable Solvers in JAX2026-08-0439526 min
Introduction to Exponax and JAX for Kolmogorov Flow2026-08-0437112 min
Hybridization of Neural Networks and Numerical Solvers in JAX with Differentiable Physics2026-08-041.2K82 min
Neural Emulator Superiority: A lightweight introduction2026-05-211.8K34 min
2D & 3D KS Equation in JAX using Exponax2026-02-161.8K27 min
On Autoregressive Neural Emulators for PDEs | Talk @ IRMA Strasbourg2025-06-152.0K63 min
Transformer Neural Operator in JAX2025-06-092.7K108 min
Full Lyapunov Spectrum of Chaotic Lorenz System using JAX2025-04-042.2K22 min

Contact Machine Learning & Simulation

Email none found in the channel description

Website github.com/Ceyron/machine-learning-and-simulation

Social patreon

YouTube youtube.com/@machinelearningsimulation

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