Machine Learning & Simulation Expert
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Felix Koehler is a Machine Learning & Simulation Expert, ranked #4 in Tech & Software (AI & ML Researchers) (Top 80%).
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Felix Koehler is a PhD student and YouTuber specializing in Machine Learning and Simulation. His content focuses on topics such as Probabilistic Machine Learning, High-Performance Computing, Continuum Mechanics, Numerical Analysis, Computational Fluid Dynamics, Automatic Differentiation, and Adjoint Methods. He frequently includes hands-on coding demonstrations in Python, Julia, and C++, utilizing modern libraries like JAX, TensorFlow Probability, NumPy, SciPy, FEniCS, and PETSc. Felix shares his academic presentations, technical explanations, and research findings on YouTube and Twitter, often promoting his GitHub repository for additional resources. He is currently a Research Scientist Intern at Meta Reality Labs in Zurich, Switzerland.
Explaining topics of Machine Learning & Simulation with intuition, visualization, and code.
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