dr-aheydari / SoftAdapt
Implementation of the SoftAdapt paper (techniques for adaptive loss balancing of multi-tasking neural networks)
☆31Updated last year
Alternatives and similar repositories for SoftAdapt:
Users that are interested in SoftAdapt are comparing it to the libraries listed below
- Implementation of physics informed neural networks with PyTorch☆20Updated 4 years ago
- Multiwavelets-based operator model☆59Updated 3 years ago
- ☆20Updated 3 years ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated last year
- ☆27Updated 3 years ago
- ☆54Updated 2 years ago
- ☆14Updated 4 years ago
- ☆55Updated last month
- ☆19Updated 4 years ago
- ☆34Updated 4 years ago
- Code for the paper "Rational neural networks", NeurIPS 2020☆28Updated 4 years ago
- PENN code for NeurIPS 2022☆40Updated 2 years ago
- ☆50Updated 2 years ago
- Solving inverse problems using conditional invertible neural networks.☆33Updated 4 years ago
- Spectral Neural Operator☆78Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆60Updated this week
- A Convolutional Variational Autoencoder (CVAE) for 3D CFD data reconstruction and generation.☆40Updated 3 years ago
- ☆52Updated 3 months ago
- Physics-informed deep super-resolution of spatiotemporal data☆43Updated last year
- ☆32Updated last year
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆37Updated 2 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆134Updated 3 years ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆11Updated 3 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆40Updated 2 years ago
- ☆20Updated 2 years ago
- This is the implementation of the RecFNO.☆20Updated 2 years ago
- jupyter notebooks for the neural nets and differential equation paper☆28Updated 4 years ago
- Hands-on tutorial for implementing Physics Informed Neural Networks in Pytorch☆39Updated this week
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆70Updated last year
- ☆71Updated last year