Buffoni / spectral_learningLinks
Learning in spectral network space
☆13Updated 3 years ago
Alternatives and similar repositories for spectral_learning
Users that are interested in spectral_learning are comparing it to the libraries listed below
Sorting:
- Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)☆105Updated 5 years ago
- Proximal optimization in pure python☆118Updated 3 years ago
- ☆22Updated last year
- Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support☆223Updated 5 years ago
- A pyTorch Extension for Applied Mathematics☆40Updated 5 years ago
- Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification☆107Updated 5 years ago
- jupyter notebooks for the neural nets and differential equation paper☆28Updated 4 years ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆149Updated 5 years ago
- A simulation of the Kuramoto-Sivashinsky Equation in Python and MATLAB☆28Updated 7 years ago
- Tensorflow implementation of equation learner☆33Updated 5 years ago
- ☆50Updated 2 years ago
- Probabilistic Tensor Toolbox☆23Updated 11 months ago
- Instructional implementation of Physics-Aware Training (PAT) with demonstrations on simulated experiments.☆311Updated last year
- RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…☆98Updated 2 years ago
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆214Updated 6 months ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆36Updated 4 years ago
- This repository contains code released by DiffEqML Research☆92Updated 3 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆146Updated 4 months ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Utilities to perform Uncertainty Quantification on Keras Models☆119Updated last year
- ☆13Updated 2 years ago
- Sparse Optimisation Research Code☆276Updated 2 months ago
- Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".☆22Updated 4 years ago
- ☆74Updated 5 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆80Updated 3 years ago
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations☆156Updated 5 years ago
- ☆200Updated 10 months ago
- neural networks to learn Koopman eigenfunctions☆466Updated last year
- ☆118Updated 6 years ago
- Improved LBFGS and LBFGS-B optimizers in PyTorch.☆67Updated last year