About Code release for “RoPINN: Region Optimized Physics-Informed Neural Networks” (NeurIPS 2024), https://arxiv.org/abs/2405.14369
☆67Jul 14, 2025Updated last year
Alternatives and similar repositories for RoPINN
Users that are interested in RoPINN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official repository for "ProPINN: Demystifying Propagation Failures in Physics-Informed Neural Networks", https://arxiv.org/abs/2502.0080…☆16Oct 17, 2025Updated last year
- About Code release for "FlashBias: Fast Computation of Attention with Bias" (NeurIPS 2025), https://arxiv.org/abs/2505.12044☆34Nov 17, 2025Updated 11 months ago
- ☆27Sep 1, 2025Updated last year
- About Code release for “DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction” (NeurIPS 2024), https://arxiv.org/a…☆27Oct 31, 2024Updated last year
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆423Feb 26, 2026Updated 7 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code release for "Supported Policy Optimization for Offline Reinforcement Learning" (NeurIPS 2022), https://arxiv.org/abs/2202.06239☆22Jun 24, 2023Updated 3 years ago
- ☆13Apr 18, 2023Updated 3 years ago
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆24Jun 7, 2020Updated 6 years ago
- About code release of "HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction", ICML 2024. https://arxiv.org/pdf/2310.…☆22Jul 18, 2024Updated 2 years ago
- Code to Paper: On the Apparent Pareto Front of Physics-Informed Neural Networks☆15Mar 18, 2025Updated last year
- A Library for Advanced Neural PDE Solvers.☆346Mar 10, 2026Updated 7 months ago
- Official Code for a KDD 2025 paper "Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting"☆21Jul 22, 2025Updated last year
- Single-Source Domain Generalization for Bearing Fault Diagnosis Using Feature-Augmented Adaptive Neuro-Fuzzy Inference System☆12Apr 13, 2024Updated 2 years ago
- [Communications AI & Computing 2026]An Efficient Graph-Transformer Operator for Learning Physical Dynamics with Manifolds Embedding☆26Jun 24, 2026Updated 3 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- About code release for "PhySense: Sensor Placement Optimization for Accurate Physics Sensing" (NeurIPS 2025 oral)☆28May 25, 2026Updated 4 months ago
- [ICLR 2024] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆34Oct 2, 2026Updated 2 weeks ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆74May 8, 2022Updated 4 years ago
- ☆88May 27, 2026Updated 4 months ago
- ☆43Jun 11, 2024Updated 2 years ago
- ☆14May 28, 2022Updated 4 years ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆88Apr 10, 2025Updated last year
- Original implementation of fast PINN optimization with RBA weights☆79Sep 11, 2025Updated last year
- ☆226Oct 20, 2024Updated last year
- 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.
- ☆17Oct 9, 2026Updated last week
- PinnDE: A Python library for solving differential equations with physics informed neural networks and deep operator networks☆32Aug 21, 2025Updated last year
- Wide Kernel Time-Frequency Fusion （WTFF）--Multi-Domain Time-Frequency Fusion Feature Contrastive Learning for Machinery Fault Diagnosis☆14Mar 21, 2025Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆61Jun 10, 2024Updated 2 years ago
- ⚠️ migrated to https://github.com/Ladbaby/PyOmniTS A Researcher-Friendly Framework for Time Series Analysis. Train Any Model on Any Datas…☆20Sep 16, 2025Updated last year
- See the official code and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models"☆16Aug 19, 2024Updated 2 years ago
- Code repository of “Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis”☆35Dec 26, 2024Updated last year
- Official implementation for the IJCAI'24 paper: SDformer☆34Mar 6, 2025Updated last year
- ☆56Nov 27, 2025Updated 10 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆17Dec 6, 2024Updated last year
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆24Apr 7, 2025Updated last year
- ☆55Mar 12, 2025Updated last year
- Python package GNP (graph neural preconditioners)☆27Feb 4, 2025Updated last year
- ☆14Aug 22, 2024Updated 2 years ago
- About model release for "Sundial: A Family of Highly Capable Time Series Foundation Models" (ICML 2025 Oral)☆232Sep 12, 2025Updated last year
- Official Code for "GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training" (ICML 2026) https://arxiv.org/pdf/2602.20399☆271Sep 27, 2026Updated 3 weeks ago