timudk / SPDENNLinks
A Discussion on Solving Partial Differential Equations using Neural Networks
☆66Updated 6 years ago
Alternatives and similar repositories for SPDENN
Users that are interested in SPDENN are comparing it to the libraries listed below
Sorting:
- Deep Learning application to the partial differential equations☆30Updated 7 years ago
- Neural reparameterization improves structural optimization☆125Updated 4 years ago
- Neural Ordinary Differential Equation☆102Updated 6 years ago
- UNIVR PDE course project and just for fun☆117Updated 8 years ago
- A pyTorch Extension for Applied Mathematics☆40Updated 5 years ago
- ☆28Updated 6 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- This implementation of DeePyMoD is no longer maintained!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
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆98Updated 3 years ago
- FluidNet re-written with ATen tensor lib☆52Updated 6 years ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 6 years ago
- Experiments with Neural Ordinary Differential Equations on image and text classification tasks☆33Updated 6 years ago
- Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support☆223Updated 5 years ago
- A pytorch version of hamiltonian monte carlo☆14Updated 6 years ago
- ☆110Updated 4 years ago
- ☆73Updated 5 years ago
- Parametric Gaussian Process Regression for Big Data (Matlab Version)☆24Updated 7 years ago
- Experiments with Neural ODEs and Adversarial Attacks☆45Updated 6 years ago
- A differentiation API for PyTorch☆30Updated 5 years ago
- Sample implementation of Neural Ordinary Differential Equations☆262Updated 6 years ago
- Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation☆110Updated last year
- jupyter notebooks for the neural nets and differential equation paper☆28Updated 4 years ago
- ☆30Updated 3 years ago
- ☆14Updated 6 years ago
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations☆155Updated 5 years ago
- Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NeurIPS 2018☆49Updated 6 years ago
- This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube☆247Updated 6 years ago
- just a few trouble shooting tips I have found for training variational autoencoders. All code in tensorflow☆23Updated 9 years ago
- Code for "Learning data-driven discretizations for partial differential equations"☆169Updated last month