nlesc-dirac / pytorchLinks
Improved LBFGS and LBFGS-B optimizers in PyTorch.
☆62Updated 10 months ago
Alternatives and similar repositories for pytorch
Users that are interested in pytorch are comparing it to the libraries listed below
Sorting:
- ☆110Updated 4 years ago
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- This repository contains code released by DiffEqML Research☆90Updated 3 years ago
- Use scipy.optimize.minimize as a PyTorch Optimizer.☆72Updated last year
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆40Updated 2 years ago
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆20Updated last year
- ☆73Updated 5 years ago
- ☆103Updated 4 years ago
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆101Updated last year
- ☆22Updated 10 months ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 2 years ago
- Code for the paper "Rational neural networks", NeurIPS 2020☆27Updated 4 years ago
- PyTorch-FEniCS interface☆102Updated 4 years ago
- Code for the ICLR 2020 paper "Learning to Control PDEs"☆35Updated 5 years ago
- Preconditioned Conjugate Gradient in Pytorch☆140Updated last year
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆80Updated 5 months ago
- Package for CGD and ACGD optimizers☆20Updated 3 years ago
- ☆48Updated last year
- A pyTorch Extension for Applied Mathematics☆40Updated 5 years ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆282Updated 3 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆115Updated 3 years ago
- Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)☆98Updated 5 years ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆129Updated last year
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆52Updated 2 years ago
- Turning SymPy expressions into PyTorch modules.☆152Updated 2 years ago
- Neural reparameterization improves structural optimization☆125Updated 4 years ago
- Code for "Deep Energy-Based Modeling of Discrete-Time Physics," NeurIPS, 2020.☆19Updated 3 years ago
- ☆14Updated 6 years ago