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".☆41Updated 3 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆57Updated 2 years ago
- Refining continuous-in-depth neural networks☆42Updated 4 years ago
- ☆23Updated last year
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- ☆112Updated 4 years ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆28Updated 2 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆57Updated 4 years ago
- Unofficial JAX implementation of the SOAP optimizer (https://arxiv.org/abs/2409.11321)☆24Updated 3 weeks ago
- This repository contains code released by DiffEqML Research☆92Updated 3 years ago
- ☆15Updated 5 years ago
- Convex potential flows☆85Updated 4 years ago
- Symplectic Recurrent Neural Networks☆28Updated 3 years ago
- ☆36Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆89Updated 3 years ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆107Updated 2 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆61Updated last year
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆54Updated 3 years ago
- Package for CGD and ACGD optimizers☆20Updated 3 years ago
- Spectral Neural Operator☆79Updated 2 years ago
- Code for the paper "Rational neural networks", NeurIPS 2020☆29Updated 4 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆42Updated 5 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- ☆52Updated 2 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆19Updated last year
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆68Updated last year
- Solving Inverse Physics Problems with Score Matching☆32Updated 2 years ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆82Updated 9 months ago
- ☆50Updated 2 years ago