The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
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Updated
Jul 2, 2025 - Python
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
High Performance Computing Strategies for Boundary Value Problems
Author's implementation of SIGGRAPH 2024 paper, "Velocity-Based Monte Carlo Fluids"
A Finite Difference Method Engine in C++
Resources for Quantitative Finance
A python package for physics-informed machine learning for solving partial differential equations
Python package for solving implicit heat conduction
A collection of my own Quantitative Finance guides covering various topics.
⚛️ Nonlinear diffusion problems in Julia
Crank-Nicolson method for the heat equation in 2D
Climate Modeling with Neural Diffusion Equation, ICDM'21
Solving the 1d diffusion equation using the FTCS and Crank-Nicolson methods
This project is a part of my thesis focusing on researching and applying the general-purpose graphics processing unit (GPGPU) in high performance computing. In this project, I applied GPU Computing and the parallel programming model CUDA to solve the diffusion equation.
FEM for parabolic and mixed problems
Image-Denoising-Using-Directed-Diffusion-Equation
Sensor nonlinear channel modeling
small examples of solving simple pde
Classical Finite Differences Schemes for numerically solve different Partial Differential Equations.
Ice Growth simulation with DLA and heat diffusion
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