A Library for Advanced Neural PDE Solvers.
☆341Mar 10, 2026Updated 6 months ago
Alternatives and similar repositories for Neural-Solver-Library
Users that are interested in Neural-Solver-Library are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆410Feb 26, 2026Updated 6 months ago
- ☆86May 27, 2026Updated 3 months ago
- ☆26Sep 1, 2025Updated last year
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆86Nov 21, 2025Updated 9 months ago
- Official Code for "GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training" (ICML 2026) https://arxiv.org/pdf/2602.20399☆262May 20, 2026Updated 3 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 for the paper Universal Physics Transformers☆172Jul 2, 2025Updated last year
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆75Jan 13, 2024Updated 2 years ago
- About code release for "PhySense: Sensor Placement Optimization for Accurate Physics Sensing" (NeurIPS 2025 oral)☆28May 25, 2026Updated 3 months ago
- Awesome AI4PDE is a curated list of resources and literature focusing on the intersection of Artificial Intelligence and Partial Differen…☆117Apr 10, 2025Updated last year
- [🔥ICLR26 Oral] RealPDEBench: A Benchmark for Complex Physical Systems with Paired Real-World and Simulated Data☆126Jul 16, 2026Updated 2 months ago
- About code release of "Learning, Solving and Optimizing PDEs with TensorGalerkin: an efficient high-performance Galerkin assembly algorit…☆22Feb 10, 2026Updated 7 months ago
- ☆1,124Updated this week
- GINOT is a deep learning model that combines transformers with neural operators for accurate forward predictions on arbitrary 2D and 3D g…☆40Jan 20, 2026Updated 7 months ago
- ☆313Sep 14, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆353Apr 16, 2026Updated 5 months ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,201Mar 30, 2026Updated 5 months ago
- ☆70Jul 10, 2023Updated 3 years ago
- [TMLR 2025] Mesh-Informed Neural Operator : A Transformer Generative Approach☆19Jun 1, 2026Updated 3 months ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆58Mar 23, 2024Updated 2 years ago
- [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains☆104Oct 23, 2025Updated 10 months ago
- ☆97Sep 2, 2024Updated 2 years ago
- ☆73Sep 1, 2026Updated 2 weeks ago
- ☆63Jul 21, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆196Apr 10, 2025Updated last year
- ☆95Jul 18, 2023Updated 3 years ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆231Nov 24, 2025Updated 9 months ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆109Jun 1, 2026Updated 3 months ago
- PDE-Transformer is a neural network architecture designed to efficiently process and predict the evolution of physical systems described …☆90Apr 11, 2026Updated 5 months ago
- The official repository of “Transolver is a Linear Transformer: Revisiting Physics-Attention through the Lens of Linear Attention”. Comin…☆23Mar 24, 2026Updated 5 months ago
- Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML method…☆3,265Updated this week
- Code for "Holistic Physics Solver: Learning PDEs in a Unified Spectral-Physical Space"☆25Mar 25, 2026Updated 5 months ago
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆61Aug 19, 2025Updated 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.
- About Code release for “RoPINN: Region Optimized Physics-Informed Neural Networks” (NeurIPS 2024), https://arxiv.org/abs/2405.14369☆65Jul 14, 2025Updated last year
- A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks☆547May 14, 2026Updated 4 months ago
- Code for Mesh Transformer describes in the EAGLE dataset☆43Feb 21, 2025Updated last year
- [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆66Mar 8, 2026Updated 6 months ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆298Oct 25, 2025Updated 10 months ago
- ☆18Aug 17, 2024Updated 2 years ago
- A curated paper list for "Foundation Neural Operators: A Survey on Pretraining Methods, Data Ecosystems, and Efficient Adaptation".☆37Feb 14, 2026Updated 7 months ago