kimy-de / pinnsView external linksLinks
Physics-informed neural networks (PINNs)
☆14Jun 7, 2022Updated 3 years ago
Alternatives and similar repositories for pinns
Users that are interested in pinns are comparing it to the libraries listed below
Sorting:
- Allen-Cahn Equation☆15Feb 20, 2023Updated 2 years ago
- Different methods of solving partial differential equations with neural networks☆18Oct 21, 2021Updated 4 years ago
- Paper List of Physics-Informed Neural Network (PINN)☆54Jan 3, 2026Updated last month
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆99Oct 24, 2022Updated 3 years ago
- ☆21Mar 14, 2023Updated 2 years ago
- 2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch☆32Aug 2, 2022Updated 3 years ago
- Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs + Adaptative Loss Weights with JAX 📓 Check out our various notebooks to g…☆45Updated this week
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28May 8, 2023Updated 2 years ago
- Original implementation of fast PINN optimization with RBA weights☆68Sep 11, 2025Updated 5 months ago
- Biologically-informed neural networks☆39Dec 3, 2020Updated 5 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆73May 18, 2025Updated 8 months ago
- Addressing the problem of predicting crime occurrence based on historic records☆11Nov 27, 2019Updated 6 years ago
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆13Nov 17, 2022Updated 3 years ago
- Physics-informed graph neural network (GNN) emulation of soft-tissue mechanics☆43Mar 20, 2025Updated 10 months ago
- ☆14Dec 15, 2025Updated last month
- Physics-Informed Neural Networks for Cardiovascular Blood Flow Simulations☆19Apr 7, 2025Updated 10 months ago
- ☆13Jun 18, 2025Updated 7 months ago
- This repository hosts a PyTorch implementation for the paper 'Solving Fokker-Planck equation using deep learning '☆11Nov 27, 2020Updated 5 years ago
- ☆46Nov 27, 2023Updated 2 years ago
- ☆11Jan 7, 2025Updated last year
- Graphical intuition to MOSFET square-law☆11Jan 5, 2021Updated 5 years ago
- This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)☆12Jul 10, 2022Updated 3 years ago
- This repo is for LinkedIn Learning course: Real-Time Data Forecasting with AI and Python☆13Aug 16, 2024Updated last year
- Mitigating the Filter Bubble while Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems☆10Mar 15, 2023Updated 2 years ago
- Code for AAAI21 paper "Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning"☆11Feb 15, 2022Updated 4 years ago
- ☆11Mar 1, 2023Updated 2 years ago
- The official PyTorch implementation of "An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction" (TheWebConf'23)☆11May 4, 2023Updated 2 years ago
- This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)☆13Feb 17, 2023Updated 2 years ago
- Basic deep learning models in PyTorch.☆10May 18, 2020Updated 5 years ago
- ☆11Jan 29, 2026Updated 2 weeks ago
- Code for ICML21 paper "Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation"☆12Feb 8, 2023Updated 3 years ago
- ☆11Jul 20, 2021Updated 4 years ago
- "SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation", WSDM 2025☆14Nov 25, 2025Updated 2 months ago
- Simple Nostr client running on the ICP. Using vetkeys for secure storing private keys on-chain.☆10Jun 24, 2024Updated last year
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93May 11, 2022Updated 3 years ago
- Physics-guided neural network framework for elastic plates☆50Mar 24, 2022Updated 3 years ago
- A LaTeX template for note☆10May 4, 2023Updated 2 years ago
- The DynaGen model allows the prediction of dynamical field data based on microstructure input. The model is exemplified to dynamic fractu…☆12Mar 17, 2023Updated 2 years ago
- Engineer-Ayesha-Shafique / Brain-Tumor-Segmentation-and-Detection-using-UNET-and-Watershed-in-PythonCreate a precise and efficient method for recognizing and segmenting brain tumours from MRI images. It entails pre-processing MRI images …☆11Jun 9, 2023Updated 2 years ago