Pinned Repositories
--dcem-Pytorch
The Differentiable Cross-Entropy Method
autoreg-pde-diffusion
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
DifferentialEquations.jl
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components
finitevolume-python
Finite Volume simulation of the Kelvin-Helmholtz Instability
GradientPathologiesPINNs
heat-pinn
A Physics-Informed Neural Network to solve 2D steady-state heat equation.
LearningToLearn
Collection of algorithms to learn loss and reward functions via gradient-based bi-level optimization.
My-awesome-PINN-papers
PIDOC
Physics-Informed Deep Operator Control (PIDOC), a deep learning method for controlling nonlinear chaos
xgxg1314's Repositories
xgxg1314/autoreg-pde-diffusion
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
xgxg1314/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
xgxg1314/finitevolume-python
Finite Volume simulation of the Kelvin-Helmholtz Instability
xgxg1314/heat-pinn
A Physics-Informed Neural Network to solve 2D steady-state heat equation.
xgxg1314/PINNacle
Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
xgxg1314/PINNpapers
Must-read Papers on Physics-Informed Neural Networks.
xgxg1314/PyDMD
Python Dynamic Mode Decomposition
xgxg1314/awesome-implicit-representations
A curated list of resources on implicit neural representations.
xgxg1314/Castro
Castro (Compressible Astrophysics): An adaptive mesh, astrophysical compressible (radiation-, magneto-) hydrodynamics simulation code for massively parallel CPU and GPU architectures.
xgxg1314/ChatGPT-Next-Web
One-Click to deploy your own ChatGPT web UI. 一键拥有你自己的 ChatGPT 网页服务。
xgxg1314/DL_AMD
automatic model discovery
xgxg1314/FLOWUnsteady
An interactional aerodynamics and acoustics solver for multirotor aircraft and wind energy
xgxg1314/FluidX3D
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL. Free for non-commercial use.
xgxg1314/FPDE
FPDE, a sourrgate constraint of PINN
xgxg1314/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
xgxg1314/jax-cfd
Computational Fluid Dynamics in JAX
xgxg1314/jinns
Physics Informed Neural Networks (PINNs) and Separable PINNs (SPINNs) with JAX 📓 Check out our various notebooks to get started ⚠️ Mirror repository of jinns (development happens on Gitlab)
xgxg1314/loss_landscape
xgxg1314/machine-learning-and-simulation
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
xgxg1314/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
xgxg1314/ML_Notes
机器学习算法的公式推导以及numpy实现
xgxg1314/NeuralFoil
NeuralFoil is an airfoil aerodynamics analysis tool using physics-informed machine learning, in pure Python/NumPy.
xgxg1314/NeuralPDE.jl
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
xgxg1314/parfam
xgxg1314/PhiFlow
A differentiable PDE solving framework for machine learning
xgxg1314/Physics-informed-neural-networks-for-solving-Reynolds-averaged-Navier-Stokes-equations
xgxg1314/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
xgxg1314/spectralDNS
Spectral Navier Stokes (and similar) solvers in Python
xgxg1314/SuperBench
xgxg1314/tianchi2023