☆24Sep 29, 2021Updated 4 years ago
Alternatives and similar repositories for PID-GAN
Users that are interested in PID-GAN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- code☆20Sep 8, 2023Updated 2 years ago
- ☆13Apr 7, 2022Updated 4 years ago
- Deeplearning project at The Technological University of Denmark (DTU) about Neural ODEs for finding dynamics in ordinary differential equ…☆18Jan 2, 2022Updated 4 years ago
- ☆36Feb 13, 2022Updated 4 years ago
- ☆21Mar 13, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This repository introduces Partial Differential Equation Solver using neural network that can learn resolution-invariant solution operato…☆17Nov 23, 2021Updated 4 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…☆44Feb 1, 2023Updated 3 years ago
- Exploit Auto-encoder for exploring and predict flow dynamic☆10Oct 4, 2019Updated 6 years ago
- A pyTorch Extension for Applied Mathematics☆40Mar 17, 2020Updated 6 years ago
- We develop a custom ML routine XNODE-WAN to solve parabolic PDEs with high efficiency.☆11Jun 23, 2022Updated 3 years ago
- Python package for forward modeling optically-thin emission from field-aligned hydrodynamic models☆12Mar 27, 2026Updated 2 weeks ago
- Code for the FiniteNet ICML Paper☆18Feb 7, 2020Updated 6 years ago
- POD-PINN code and manuscript☆58Nov 10, 2024Updated last year
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆20Dec 8, 2023Updated 2 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.
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Jul 23, 2020Updated 5 years ago
- JAX tutorials for PyTorch users☆13Feb 18, 2023Updated 3 years ago
- ☆35Jan 29, 2021Updated 5 years ago
- AI's quantum device physics laboratory's instrumentation control☆23Feb 28, 2026Updated last month
- Note on Polchinski's string theory☆11Mar 28, 2024Updated 2 years ago
- ML-based turbulence modeling for astrophysics☆14Aug 18, 2023Updated 2 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆109Apr 15, 2022Updated 4 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆96Aug 17, 2023Updated 2 years ago
- This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…☆13Mar 18, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆212Feb 16, 2024Updated 2 years ago
- This repository contains the simple source codes of "Convolutional neural network and long short-term memory based reduced order surrogat…☆15Feb 27, 2021Updated 5 years ago
- Prediction of turbulent heat transfer using convolutional neural networks (CNNs)☆22Jan 22, 2023Updated 3 years ago
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Sep 18, 2023Updated 2 years ago
- Demo code for PPINN paper: https://www.sciencedirect.com/science/article/pii/S0045782520304357☆11Oct 23, 2020Updated 5 years ago
- ☆19Feb 3, 2022Updated 4 years ago
- ☆15Sep 27, 2024Updated last year
- ☆12Jan 23, 2024Updated 2 years ago
- Multivariate Random Processes with Python☆15Sep 5, 2025Updated 7 months ago
- 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.
- ☆10Mar 11, 2025Updated last year
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆151Oct 18, 2019Updated 6 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93May 11, 2022Updated 3 years ago
- ☆111Oct 16, 2021Updated 4 years ago
- ☆63Jul 24, 2019Updated 6 years ago
- Implementation of cdcgan(cgan+dcgan) using pytorch and trained on the mnist dataset.☆18Mar 30, 2021Updated 5 years ago
- Deep learning framework for model reduction of dynamical systems☆21Dec 31, 2020Updated 5 years ago