yangsustc's repositories
Allen-Cahn-FNO
Fourier Neural Operators to solve for Allen Cahn PDE equations
DeepBSDE
Deep BSDE solver in TensorFlow
DeepNitscheMethod
Code for "Deep Nitsche Method: Deep Ritz Method with Essential Boundary Conditions"
DeepRitz
Implementation of the Deep Ritz method and the Deep Galerkin method
book
个人认为对技术提升很不错的书
DGM-and-DRM
Several codes and results for the paper: A comparison study of deep Galerkin method and deep Ritz method for elliptic problems with different boundary conditions
fourier_neural_operator
Use Fourier transform to learn operators in differential equations.
Getting-Started-with-Tensorflow-2
All my code for the course Getting Started with Tensorflow 2 by Imperial College London. Well Written and Commented for Anyone to learn tf2. Check out the Markdowns for every folder.
HFM
Hidden Fluid Mechanics
LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
loss-landscape
Code for visualizing the loss landscape of neural nets
MFGnet.jl
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems
NeuralPDE.jl
Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
NN-Schrodinger
Experiments and additional materials for Entropy research paper
NNets-and-Diffeqns
jupyter notebooks for the neural nets and differential equation paper
pde-estimation
Pytorch code for learning an underlying PDE from given data.
PDEsByNNs
This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.
PFM.1D
1D Phase Field modeling
PICANNs
Physics Informed Convex Artificial Neural Networks
pinn_burgers
Physics Informed Neural Network (PINN) for Burgers' equation.
PINNs-TF2.0
TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
python_data_structures_and_algorithms
Python 中文数据结构和算法教程
pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
SA-PINNs
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
torchcde
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
two-asset-trading-bot
First trading algo: Long Short Momentum/Value ETFs
VIXTradingStrategy_QuantConnect
The strategy trades two ETPs on volatility, going long volatility using VXX, and going short volatility using SVXY. The signal indicator for buying and/or selling is RSI, which is used to track current momentum in the SVXY ETF.