Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networks (PINNs) in PyTorch.
☆31Mar 8, 2021Updated 5 years ago
Alternatives and similar repositories for locally-adaptive-activation-functions
Users that are interested in locally-adaptive-activation-functions are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆44Feb 1, 2023Updated 3 years ago
- Research experiments☆10Mar 3, 2025Updated last year
- ☆10Dec 17, 2019Updated 6 years ago
- DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations☆41Nov 20, 2024Updated last year
- ☆178Jun 27, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆14Oct 14, 2024Updated 2 years ago
- Original implementation of fast PINN optimization with RBA weights☆79Sep 11, 2025Updated last year
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆37Dec 4, 2023Updated 2 years ago
- Physics-informed radial basis network☆43May 20, 2024Updated 2 years ago
- Boosting the training of physics informed neural networks with transfer learning☆27Jun 5, 2021Updated 5 years ago
- ☆11Jan 5, 2021Updated 5 years ago
- Official Github Repository for paper "Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (…☆18Jun 10, 2023Updated 3 years ago
- The public repository about our joint FINN research project☆38Oct 28, 2022Updated 4 years ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆14Nov 3, 2021Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆28Sep 30, 2021Updated 5 years ago
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆30Oct 22, 2024Updated 2 years ago
- ☆21Mar 14, 2023Updated 3 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆46Sep 30, 2022Updated 4 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆14Apr 10, 2021Updated 5 years ago
- ☆42May 8, 2020Updated 6 years ago
- ☆11Mar 31, 2021Updated 5 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆232Feb 21, 2023Updated 3 years ago
- ☆20Jul 9, 2025Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆63Jul 24, 2019Updated 7 years ago
- Physics Informed Neural Networks☆20Sep 2, 2020Updated 6 years ago
- ☆118Jul 28, 2019Updated 7 years ago
- ☆17Mar 25, 2021Updated 5 years ago
- Data preprocess method on Physics-informed neural networks☆28Feb 21, 2025Updated last year
- ☆19Aug 13, 2024Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆63Dec 7, 2020Updated 5 years ago
- ☆78Nov 15, 2022Updated 3 years ago
- ☆273Oct 14, 2021Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Staggered HARd-constrained Physics-Informed Neural Networks for Phase-field modelling of corrosion☆18Feb 19, 2025Updated last year
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆22Mar 25, 2023Updated 3 years ago
- ☆66Mar 22, 2023Updated 3 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆35Oct 30, 2023Updated 2 years ago
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆173Jan 12, 2025Updated last year
- Physics-informed information field theory - Solve inverse problems with built-in model form uncertainty estimation☆13Jan 24, 2024Updated 2 years ago
- ☆13Apr 18, 2023Updated 3 years ago