Tong-RuiLiu

Tong-Rui Liu's starred repositories

ConvolutionalNeuralOperator

This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs

Language:Python11500

latent-deeponet

Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."

Language:PythonMIT3700

neuraloperator

Learning in infinite dimension with neural operators.

Language:PythonMIT190500

Fourier-Neural-Operator

Implementation of Fourier Neural Operator using PyTorch

Language:Jupyter Notebook400

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Language:PythonMIT5192100

microgen

Microstructure generation

Language:PythonGPL-3.06200

cvit

Language:Jupyter NotebookMIT1000

RVE_2D_gen

generate 2d voxel mesh for fiber-reinforced composites

Language:MATLABMIT400

pykan

Kolmogorov Arnold Networks

Language:Jupyter NotebookMIT1380900

ElectrostaticRepulsionMesher

Generates a particle distribution and an associated Delaunay triangulation based on a grayscale image field (could be an error estimator)

Language:Python800

ameshref

Efficient Matlab Implementation of Adaptive Mesh Refinement in 2D

Language:MATLABMIT5600

neuromancer

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

Language:PythonNOASSERTION81900

vis3Dvertex

How to create VTK polyhedral unstructured grid from certex, face, and cell data of 3D vertex-like models. Here, the voro++ library is used to create polyhedral unstructured grids

Language:POV-Ray SDLGPL-2.0700