☆29Mar 17, 2026Updated 3 months ago
Alternatives and similar repositories for MgNO
Users that are interested in MgNO are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Papers and codes of Physics-informed Deep Compositional Operator Network☆13Oct 31, 2025Updated 8 months ago
- Code for "Holistic Physics Solver: Learning PDEs in a Unified Spectral-Physical Space"☆24Mar 25, 2026Updated 3 months ago
- Here you find the Spectral Operator Learning Under construcTION☆20May 8, 2024Updated 2 years ago
- GINOT is a deep learning model that combines transformers with neural operators for accurate forward predictions on arbitrary 2D and 3D g…☆36Jan 20, 2026Updated 5 months ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆31Jan 20, 2025Updated last year
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆85Apr 10, 2025Updated last year
- Repository for Deterministic Particle Flow Control framework☆10Nov 13, 2022Updated 3 years ago
- Unmaintained CFD models for Firedrake☆12Nov 8, 2015Updated 10 years ago
- ☆13Sep 13, 2023Updated 2 years ago
- Applied project based on PINNs. The physical problem is sound propagation underwater&Helmholtz equation.☆17Oct 14, 2021Updated 4 years ago
- ☆11Jul 21, 2023Updated 2 years ago
- Bayesian PINN codes to solve 2D/3D Navier Stokes for wind fields☆12Dec 12, 2023Updated 2 years ago
- TorchFEM: Another Finite Element Package...in PyTorch☆17Apr 19, 2024Updated 2 years ago
- ☆68Mar 21, 2025Updated last year
- 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.
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆18Dec 6, 2024Updated last year
- Official code release of Hilbert Diffusion Model (PyTorch ver.)☆21Aug 17, 2024Updated last year
- ☆74May 27, 2026Updated last month
- Code for "Neural Stochastic Differential Gaems for Time-series Analysis"☆10Jul 13, 2023Updated 2 years ago
- Bayesian Physics-Informed Neural Networks for Robust System Identification of Power Systems☆14May 17, 2023Updated 3 years ago
- Research sources on graph-based anomaly detection☆13Nov 29, 2022Updated 3 years ago
- ☆22Feb 4, 2025Updated last year
- Implementation of Dabrowski et. al., "Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wi…☆25Apr 2, 2024Updated 2 years ago
- ☆17Mar 10, 2022Updated 4 years ago
- 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.
- PyTorch implementation of Neural Poisson Solver.☆11Dec 30, 2024Updated last year
- Kimariyb 的科研绘图脚本，涵括很多类型的曲线图☆10Nov 1, 2023Updated 2 years ago
- PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…☆27Jul 9, 2023Updated 2 years ago
- ☆11Mar 18, 2023Updated 3 years ago
- Codes for scientific charts☆12Dec 30, 2025Updated 6 months ago
- VEMLAB: a MATLAB library for the virtual element method☆40May 21, 2024Updated 2 years ago
- Graph Neural Network (GNN) emulation of the left-ventricle (LV) in diastole☆13Sep 28, 2022Updated 3 years ago
- A small research project about advanced machine learning with neural networks. The Fourier neural operator was implemented here to see if…☆55Aug 6, 2023Updated 2 years ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆82Nov 21, 2025Updated 7 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- A Deep Learning Approach to Solving PDEs: Implementing Neural Networks with Pytorch and Jax☆10Apr 27, 2023Updated 3 years ago
- A hybrid Decoder-DeepONet operator regression framework for unaligned observation data☆10Jul 16, 2023Updated 2 years ago
- Navier-Stokes solvers based on FEniCS☆19May 28, 2014Updated 12 years ago
- Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport (ICLR'25 oral)☆35Dec 10, 2025Updated 6 months ago
- Deep finite volume method☆22Jun 26, 2024Updated 2 years ago
- ☆14Jun 3, 2024Updated 2 years ago
- ☆23Oct 23, 2020Updated 5 years ago