dbindel / cs6241-s21
Course material for Cornell CS 6241, Spring 21
☆10Updated 3 years ago
Alternatives and similar repositories for cs6241-s21:
Users that are interested in cs6241-s21 are comparing it to the libraries listed below
- Python trust-region subproblem solvers for nonlinear optimization☆29Updated 7 months ago
- Optimal Transport for Dummies - Code, slides and article☆32Updated 7 years ago
- From the paper "Dynamic mode decomposition for multiscale nonlinear physics" by Dylewsky, Tao, & Kutz☆10Updated 5 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆67Updated 4 years ago
- This implementation of DeePyMoD is no longer maintained! We switched to a PyTorch based implementation: https://github.com/PhIMaL/DeePyM…☆24Updated 5 years ago
- Deep Learning application to the partial differential equations☆30Updated 6 years ago
- Course material for Cornell CS 6210 for Fall 2019☆25Updated 5 years ago
- Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation☆12Updated 3 years ago
- Course repository for Cornell CS 6210, Fall 2016☆18Updated 8 years ago
- Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)☆17Updated last year
- ME 697 - Advanced Scientific Machine Learning☆21Updated this week
- ☆13Updated 5 years ago
- Dynamic Mode Decomposition☆58Updated 7 years ago
- Parametric Gaussian Process Regression for Big Data (Matlab Version)☆24Updated 6 years ago
- a multiresolution convolutional autoencoder architecture☆19Updated 4 years ago
- Learning Green's functions of partial differential equations with deep learning.☆65Updated last year
- Math 228A 2019 Fall☆16Updated 5 years ago
- A software package for flexible HPC GPs☆15Updated 2 weeks ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆19Updated 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
- Parametric Gaussian Process Regression for Big Data☆44Updated 5 years ago
- A pytorch version of hamiltonian monte carlo☆14Updated 5 years ago
- This repository mirrors the principal Gitlab repository of the Chebyshev Accelerated Subspace iteration Eigensolver. If you want to contr…☆16Updated 3 weeks ago
- Examples in PyAMG☆25Updated 5 months ago
- Mixed graph Laplacian upscaling and solvers☆13Updated 2 months ago
- Chebfun examples collection☆69Updated last year
- ☆21Updated 4 years ago
- Fast linear algebra in MATLAB☆64Updated last year
- A fresh approach to deep learning written in MATLAB☆24Updated 2 years ago
- A Python library for training neural ODEs.☆20Updated last month