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Brookhaven National Laboratory
- https://xihaier.github.io/
Highlights
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Stars
Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.
Code accompanying manuscript "Functional Tensor Decompositions for Physics-Informed Neural Networks"
Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
Separabale Physics-Informed DeepONets in JAX
a zotero plugin of changing pdf background color to care your eyes
A workshop that teaches you how to build your own coding agent. Similar to Roo code, Cline, Amp, Cursor, Windsurf or OpenCode.
A INR method for High-Fidelity Flow Field Reconstruction
Open-source implementation of AlphaEvolve
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
Intelligent automation and multi-agent orchestration for Claude Code
A collection of research papers on Diffusion Models for Weather Forecasting.
UCE is a zero-shot foundation model for single-cell gene expression data
PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction".
Wind speed downscaling via Diffusion Models, from ERA5 to CERRA in the mediterranean region
Source code of "A structured dictionary perspective on implicit neural representations"
Continuous Representation Methods, Theories, and Applications: An Overview
[ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.
[NeurIPS 2025] TTRL: Test-Time Reinforcement Learning
Official PyTorch implementation of One-Minute Video Generation with Test-Time Training
Lets make video diffusion practical!
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus Agent Tools, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae…
A Library for Advanced Neural PDE Solvers.
An LLM agent that conducts deep research (local and web) on any given topic and generates a long report with citations.
Official implementation of Diffusion Graph Networks (DGNs)
Benchmarking of diffusion models for global field reconstruction from sparse observations