juliusberner / oberwolfach_workshopLinks
Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)
☆17Updated 2 years ago
Alternatives and similar repositories for oberwolfach_workshop
Users that are interested in oberwolfach_workshop are comparing it to the libraries listed below
Sorting:
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated last year
- Quasi-Monte Carlo point generators, automatic transformations, and adaptive stopping criteria☆77Updated last week
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 3 years ago
- Stiff Neural Ordinary Differential Equations☆35Updated 2 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Updated 3 years ago
- ☆40Updated 4 years ago
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆130Updated 3 weeks ago
- Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high perf…☆235Updated 3 years ago
- Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.☆60Updated 3 years ago
- ☆73Updated 5 years ago
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- Stochastic Optimization under Uncertainty in Python.☆36Updated 7 months ago
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆75Updated last year
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆60Updated 3 years ago
- Website for the book "The Elements of Differentiable Programming".☆14Updated 6 months ago
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆189Updated last year
- Repository for Deterministic Particle Flow Control framework☆10Updated 3 years ago
- ☆34Updated 5 years ago
- ☆36Updated 2 years ago
- No need to train, he's a smooth operator☆45Updated 3 weeks ago
- Awesome-spatial-temporal-scientific-machine-learning-data-mining-packages. Julia and Python resources on spatial and temporal data mining…☆14Updated 3 years ago
- generative neural network trained with physics knowledge☆14Updated 4 years ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆107Updated 2 years ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated last month
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆29Updated 3 weeks ago
- Code for the paper "Rational neural networks", NeurIPS 2020☆29Updated 4 years ago
- Python trust-region subproblem solvers for nonlinear optimization☆30Updated 3 weeks ago
- ☆105Updated 2 weeks ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆32Updated last year
- Dynamic Mode Decomposition☆61Updated 8 years ago