📙 Parallel Computing and Scientific Machine Learning
Dr. Chris Rackauckas, MIT
لیست ویدئو های دوره
https://www.youtube.com/playlist?list=PLCAl7tjCwWyGjdzOOnlbGnVNZk0kB8VSa

مطالب دوره در قالب یک کتاب آنلاین
https://book.sciml.ai/

مباحث:
🔴 Optimizing Serial Code
🔴 Physics-Informed Neural Networks
🔴 Introduction to Discrete Dynamical Systems
🔴 The Basics of Single Node Parallel Computing
🔴 Styles of Parallelism
🔴 Ordinary Differential Equations
🔴 Forward-Mode Automatic Differentiation
🔴 Solving Stiff Ordinary Differential Equations
🔴 Basic Parameter Estimation, Reverse-Mode AD, and Inverse Problems
🔴 Differentiable Programming and Neural Differential Equations
🔴 MPI for Distributed Computing
🔴 Mathematics of ML and HPC
🔴 GPU Computing
🔴 Partial Differential Equations and Convolutional Neural Networks
🔴 Probabilistic Programming
🔴 Global Sensitivity Analysis
🔴 Code Profiling and Optimization
🔴 Uncertainty Programming and Generalized Uncertainty Quantification

#course
@hpcnerds