Lists (13)
Sort Name ascending (A-Z)
Books
CFD_Solver
CFD_Tutorial
Tutorial for learning computational fluid dynamicsCS_Tutorial
Tutorial for learning computer scienceCurated_List
Collections of all kinds of resourcesHPC
Interested_Toolkit
Numerical_Techniques
Starred repositories
Tutorial to install NVIDIA Drivers, CUDA 11.4 and cuDNN for deep learning programming on Ubuntu 20.04.
A differentiable PDE solving framework for machine learning
PROSE: Predicting Multiple Operators and Symbolic Expressions
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version ongoing
An introduction to programming ABM simulations with the Julia language, Social Simulation Conference 2024
Official development repository for SUNDIALS - a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. Pull requests are welcome for bug fixes and minor changes.
A collection of awesome LaTeX Thesis/Dissertation templates and beyond! (LaTeX / Word / Typst / Markdown 格式的学位论文、演示文稿、报告、项目申请书、简历、书籍等模板收藏)
Conservative Finite-Difference Solver for Hyperbolic-Parabolic PDEs
Computation of invariant manifolds in high-dimensional mechanics problems
An open source toolbox based on Krylov methods for highly parallel global linear stability analysis of incompressible flow problems for Nek5000.
Just a detailed in-depth, and comprehensive explanation of how computers operate internally, focusing on RAM and CPU aspects, respectively. By @ILyesMk2
ETH Zürich Deep Learning in Scientific Computing Master's course 2023
ETH Zürich AI in the Sciences and Engineering Master's course 2024
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
Python notebooks for Numerical Analysis
Understanding Deep Learning - Simon J.D. Prince
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Implementation of the 12 steps approach to the Navier-Stokes equations, essential for simulating fluid dynamics.
Deep reinforcement learning with OpenFOAM
Model reduction library with an emphasis on large scale parallelism and linear subspace methods