[Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled Training; Rollout Metrics)
☆101May 11, 2026Updated last week
Alternatives and similar repositories for apebench
Users that are interested in apebench are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆14Feb 18, 2024Updated 2 years ago
- Training methodologies for autoregressive neural operators/emulators in JAX.☆11May 11, 2026Updated last week
- Neural Emulator Architectures in JAX.☆24May 11, 2026Updated last week
- Convolutional Differential Operators for Physics-based Deep Learning Study☆26Jul 30, 2024Updated last year
- Repo to the paper "Message Passing Neural PDE Solvers"☆147Sep 11, 2024Updated last year
- 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.
- Code for the paper Universal Physics Transformers☆159Jul 2, 2025Updated 10 months ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆81Nov 21, 2025Updated 5 months ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆114Dec 13, 2024Updated last year
- Efficient Differentiable n-d PDE Solvers in JAX.☆201May 11, 2026Updated last week
- ☆57Jul 21, 2025Updated 9 months ago
- ☆302Sep 14, 2024Updated last year
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆32May 30, 2025Updated 11 months ago
- Resources for UPT tutorials☆16Apr 7, 2025Updated last year
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆183Apr 10, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆36Nov 10, 2025Updated 6 months ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,134Mar 30, 2026Updated last month
- [ICML 2024] Official PyTorch implementation of the Vectorized Conditional Neural Field.☆18Aug 1, 2024Updated last year
- Visualisation for 4D Volumes (Space + Time) written in WebGPU and Rust☆44Nov 21, 2025Updated 5 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆74Jan 13, 2024Updated 2 years ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆48Jan 31, 2024Updated 2 years ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆218Nov 24, 2025Updated 5 months ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆27Nov 6, 2024Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆55Jun 10, 2024Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Papers and codes of Physics-informed Deep Compositional Operator Network☆13Oct 31, 2025Updated 6 months ago
- ☆29Jul 8, 2024Updated last year
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆19Oct 13, 2025Updated 7 months ago
- A minimal JAX library for connectivity modelling at scale☆11Updated this week
- [ICLR26 Oral] RealPDEBench: A Benchmark for Complex Physical Systems with Paired Real-World and Simulated Data☆85Updated this week
- Official implementation of Scalable Transformer for PDE surrogate modelling☆56Mar 23, 2024Updated 2 years ago
- Spectral Neural Operator☆84Dec 20, 2023Updated 2 years ago
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆28May 6, 2024Updated 2 years ago
- ☆14Aug 22, 2024Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains☆92Oct 23, 2025Updated 6 months ago
- ☆13Dec 19, 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
- ☆89Jul 18, 2023Updated 2 years ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆331Apr 16, 2026Updated last month
- Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"☆20Jul 25, 2024Updated last year
- TorchFSM: Fourier Spectral Method with PyTorch☆58Mar 22, 2026Updated last month