Code for "Holistic Physics Solver: Learning PDEs in a Unified Spectral-Physical Space"
☆25Mar 25, 2026Updated 4 months ago
Alternatives and similar repositories for HPM
Users that are interested in HPM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation for "DeltaPhi: Learning Physical Trajectory Residual for PDE Solving"☆13Jun 17, 2024Updated 2 years ago
- Alias-Free Mamba Neural Operator [NeurIPS 2024]☆16Jul 5, 2025Updated last year
- Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs (AAAI 2024)☆14Jul 30, 2024Updated last year
- ☆18Aug 17, 2024Updated last year
- Use Fourier transform to learn operators in differential equations.☆15Feb 2, 2024Updated 2 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.
- ☆62Jun 18, 2026Updated last month
- ☆29Jun 12, 2025Updated last year
- Aims for memory-efficient training (24GB VRAM) on consumer GPUs. Optimizing language models through guidance tokens in reasoning chains, …☆28Feb 23, 2025Updated last year
- Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes☆21May 23, 2023Updated 3 years ago
- ☆17Dec 31, 2023Updated 2 years ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆390Feb 26, 2026Updated 5 months ago
- Papers and codes of Physics-informed Deep Compositional Operator Network☆14Oct 31, 2025Updated 8 months ago
- NeuSmoke: Efficient Smoke Reconstruction and View Synthesis with Neural Transportation Fields (SIGGRAPH Asia 2024)☆19Feb 27, 2025Updated last year
- 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
- 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.
- ☆55Mar 12, 2025Updated last year
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆29Oct 14, 2025Updated 9 months ago
- (VillagerAgent ACL 2024) A Graph based Minecraft multi agents framework☆95Jun 5, 2026Updated last month
- Code for ICML2025 Paper "Physics-informed Temporal Alignment for Auto-regressive PDE Foundation Models"☆17Jun 27, 2025Updated last year
- Code for SEEG: Semantic Energized Co-speech Gesture Generation☆33Dec 3, 2022Updated 3 years ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆226Nov 24, 2025Updated 8 months ago
- Code for Mesh Transformer describes in the EAGLE dataset☆42Feb 21, 2025Updated last year
- InverseBench (ICLR 2025 spotlight)☆119Jul 16, 2026Updated last week
- Code for the paper Universal Physics Transformers☆166Jul 2, 2025Updated last year
- 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.
- The official code for [ACM MM 2022] 'In-N-Out Generative Learning for Dense Unsupervised Video Segmentation'.☆20Feb 22, 2023Updated 3 years ago
- A Library for Advanced Neural PDE Solvers.☆333Mar 10, 2026Updated 4 months ago
- [NeurIPS 2025] Official PyTorch implementation of the CALM layers and CALM-PDE model.☆21Oct 20, 2025Updated 9 months ago
- ☆16Mar 3, 2023Updated 3 years ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆24May 13, 2024Updated 2 years ago
- An Efficient Graph-Transformer Operator for Learning Physical Dynamics with Manifolds Embedding☆22Jun 24, 2026Updated last month
- Official codebase for "Score-based Diffusion Models in Function Space"☆20Jan 23, 2025Updated last year
- PDE-Transformer is a neural network architecture designed to efficiently process and predict the evolution of physical systems described …☆87Apr 11, 2026Updated 3 months ago
- ☆36Jan 10, 2025Updated last year
- 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.
- NeurIPS-2025☆21Nov 4, 2025Updated 8 months ago
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆28May 6, 2024Updated 2 years ago
- NeLo: Neural Laplacian Operators on Point Clouds☆31May 24, 2025Updated last year
- ☆96Sep 2, 2024Updated last year
- AstroAgents: Multi-Agent AI for Hypothesis Generation from Mass Spectrometry Data☆15Apr 1, 2025Updated last year
- ☆27Apr 28, 2026Updated 3 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆74Jan 13, 2024Updated 2 years ago