FuhgJan / SobolevPytorchLinks
An implementation of a neural network training routine using derivative information in Pytorch.
☆10Updated 4 years ago
Alternatives and similar repositories for SobolevPytorch
Users that are interested in SobolevPytorch are comparing it to the libraries listed below
Sorting:
- Symplectic Recurrent Neural Networks☆28Updated 2 years ago
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆37Updated last year
- Refining continuous-in-depth neural networks☆42Updated 4 years ago
- Nonparametric Differential Equation Modeling☆56Updated last year
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 10 months ago
- ☆30Updated 3 years ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 3 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …☆34Updated last month
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- ☆22Updated last year
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 3 years ago
- ☆15Updated 2 years ago
- Learning Dynamical Systems that Generalize Across Environments☆20Updated 3 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆42Updated 5 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆23Updated 5 years ago
- Official code for UnICORNN (ICML 2021)☆28Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆55Updated 2 years ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 4 years ago
- ☆15Updated 3 years ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Updated last year
- Einstein Fields official implementation in JAX.☆66Updated 3 months ago
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆43Updated 2 years ago
- ☆112Updated 4 years ago
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆20Updated last year
- Code for the paper "Rational neural networks", NeurIPS 2020☆29Updated 4 years ago
- ☆28Updated 3 years ago
- ☆35Updated 2 years ago