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☆123Updated 3 years ago
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆99Updated 3 years ago
- A pyTorch Extension for Applied Mathematics☆39Updated 5 years ago
- Neural Ordinary Differential Equation☆101Updated 6 years ago
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 6 years ago
- FluidNet re-written with ATen tensor lib☆52Updated 6 years ago
- ☆72Updated 4 years ago
- UNIVR PDE course project and just for fun☆117Updated 8 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- This implementation of DeePyMoD is no longer maintained!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
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- Parametric Gaussian Process Regression for Big Data (Matlab Version)☆24Updated 7 years ago
- Experiments with Neural Ordinary Differential Equations on image and text classification tasks☆31Updated 6 years ago
- ☆28Updated 5 years ago
- ☆30Updated 2 years ago
- ☆70Updated 5 years ago
- jupyter notebooks for the neural nets and differential equation paper☆28Updated 4 years ago
- A pytorch version of hamiltonian monte carlo☆14Updated 6 years ago
- Optimal Transport for Dummies - Code, slides and article☆33Updated 8 years ago
- Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support☆219Updated 4 years ago
- Slides, Jupyter Notebooks and scripts for the Deep Learning: Do-It-Yourself! lectures at ENS☆21Updated 4 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 6 years ago
- predicting equations from raw data with deep learning☆56Updated 6 years ago
- AlgoPy is a Research Prototype for Algorithmic Differentation in Python☆85Updated last year
- Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation☆110Updated last year
- A differentiation API for PyTorch☆30Updated 5 years ago
- Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18☆52Updated 6 years ago
- Stochastic Deep Networks☆17Updated 6 years ago
- ☆110Updated 4 years ago