mitmath / 18336Links
18.336 - Fast Methods for Partial Differential and Integral Equations
☆185Updated last year
Alternatives and similar repositories for 18336
Users that are interested in 18336 are comparing it to the libraries listed below
Sorting:
- 18.303 - Linear PDEs course☆145Updated last year
- 18.S096 - Applications of Scientific Machine Learning☆311Updated 3 years ago
- Julia code for the book Numerical Linear Algebra☆127Updated 2 years ago
- Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high perf…☆229Updated 2 years ago
- ☆102Updated 2 months ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆98Updated last year
- Harvard Applied Math 205: Code Examples☆88Updated 3 years ago
- Harvard Applied Math 225: Code Examples☆26Updated 3 years ago
- Differentiable interface to FEniCS for JAX☆57Updated 4 years ago
- Learning Green's functions of partial differential equations with deep learning.☆71Updated last year
- Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.☆168Updated 2 weeks ago
- Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains☆211Updated 2 weeks ago
- A Python implementation of Chebfun☆142Updated last week
- 18.335 - Introduction to Numerical Methods course☆548Updated 3 months ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆130Updated 11 months ago
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆58Updated 4 years ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆30Updated last year
- Awesome-spatial-temporal-scientific-machine-learning-data-mining-packages. Julia and Python resources on spatial and temporal data mining…☆13Updated 2 years ago
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆85Updated 4 years ago
- Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.☆110Updated 9 months ago
- ETH course - Solving PDEs in parallel on GPUs☆130Updated 4 months ago
- Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax),…☆329Updated last week
- Stiff Neural Ordinary Differential Equations☆34Updated 2 years ago
- GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich☆254Updated 3 years ago
- 18.337 - Parallel Computing and Scientific Machine Learning☆243Updated 2 years ago
- Python Algorithms for Randomized Linear Algebra☆55Updated 2 years ago
- Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks☆58Updated 5 months ago
- Surrogate modeling and optimization for scientific machine learning (SciML)☆350Updated last week
- Lecture notes for M3M6 Methods of Mathematical Physics☆43Updated 5 years ago
- Spectral Methods in Python☆57Updated 3 months ago