IPAIopen / NumDL-CourseNotes
Course notes for graduate-level class on numerical methods for deep learning
☆50Updated 4 years ago
Alternatives and similar repositories for NumDL-CourseNotes:
Users that are interested in NumDL-CourseNotes are comparing it to the libraries listed below
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆67Updated 4 years ago
- Deep Learning application to the partial differential equations☆30Updated 6 years ago
- Differentiable interface to FEniCS for JAX☆53Updated 3 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- ME 697 - Advanced Scientific Machine Learning☆21Updated 2 weeks ago
- Bootcamp notebooks☆53Updated 11 months ago
- Parametric Gaussian Process Regression for Big Data☆44Updated 5 years ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- Machine learning of linear differential equations using Gaussian processes☆24Updated 6 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 5 years ago
- Python Active-subspaces Utility Library☆71Updated 4 years ago
- ☆72Updated 4 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆94Updated last year
- Multi-Information Source Optimization☆23Updated 5 years ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆125Updated 7 months ago
- A software package for flexible HPC GPs☆16Updated last week
- Python codes for Introduction to Computational Stochastic PDE☆42Updated 2 months ago
- Dynamic Mode Decomposition☆59Updated 7 years ago
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆39Updated 6 months ago
- ☆41Updated 4 years ago
- ☆30Updated 2 years ago
- Optimal Transport for Dummies - Code, slides and article☆32Updated 7 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆113Updated 3 years ago
- Convolutional Solvers for Partial Differential Equations☆28Updated 4 years ago
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations☆150Updated 5 years ago
- Multi Fidelity Monte Carlo☆25Updated 5 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆26Updated last year
- A hands-on tutorial on supervised learning with Gaussian processes☆36Updated 5 years ago
- Differentiable interface to FEniCS for PyMC3☆20Updated 2 years ago