elizabethnewman / hessQuikLinks
Computing gradients and Hessians of feed-forward networks with GPU acceleration
☆20Updated last year
Alternatives and similar repositories for hessQuik
Users that are interested in hessQuik are comparing it to the libraries listed below
Sorting:
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆40Updated 2 years ago
- Refining continuous-in-depth neural networks☆42Updated 4 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆55Updated 2 years ago
- ☆22Updated last year
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- This repository contains code released by DiffEqML Research☆91Updated 3 years ago
- ☆35Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 3 years ago
- ☆112Updated 4 years ago
- Convex potential flows☆84Updated 4 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 2 years ago
- Package for CGD and ACGD optimizers☆20Updated 3 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆81Updated 7 months ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆104Updated 2 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆42Updated 5 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆60Updated last year
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆28Updated 2 years ago
- ☆15Updated 5 years ago
- Distributed Fourier Neural Operators☆30Updated 3 years ago
- ☆48Updated 2 years ago
- Symplectic Recurrent Neural Networks