mitmath / 18336Links
18.336 - Fast Methods for Partial Differential and Integral Equations
☆186Updated 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☆146Updated 2 years ago
- 18.S096 - Applications of Scientific Machine Learning☆313Updated 3 years ago
- Julia code for the book Numerical Linear Algebra☆125Updated 2 years ago
- Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high perf…☆234Updated 3 years ago
- ☆104Updated this week
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆105Updated 2 years ago
- Harvard Applied Math 225: Code Examples☆26Updated 3 years ago
- Harvard Applied Math 205: Code Examples☆94Updated 3 years ago
- Learning Green's functions of partial differential equations with deep learning.☆72Updated last year
- Stiff Neural Ordinary Differential Equations☆35Updated 2 years ago
- Python Algorithms for Randomized Linear Algebra☆57Updated 2 years ago
- Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.☆171Updated 3 months ago
- 18.337 - Parallel Computing and Scientific Machine Learning☆245Updated 2 years ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆131Updated last year
- Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.☆110Updated last year
- 18.335 - Introduction to Numerical Methods course☆564Updated this week
- Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains☆212Updated last month
- ETH course - Solving PDEs in parallel on GPUs I Fall 2025☆134Updated last week
- Lecture notes for M3M6 Methods of Mathematical Physics☆43Updated 5 years ago
- GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich☆258Updated 3 years ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆30Updated last year
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆130Updated last week
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆86Updated 4 years ago
- Spectral Methods in Python☆60Updated 7 months ago
- ☆73Updated 5 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆116Updated 3 years ago
- Awesome-spatial-temporal-scientific-machine-learning-data-mining-packages. Julia and Python resources on spatial and temporal data mining…☆14Updated 3 years ago
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆60Updated 4 years ago
- Analysis of initial value ODE solvers☆82Updated last year