Beast code in Giters

yangsustc's repositories

WAN_PDE

Weak Adversarial Networks for high-dimensional PDE with Neural ODEs

Language:Jupyter NotebookMIT1 10

Allen-Cahn-FNO

Fourier Neural Operators to solve for Allen Cahn PDE equations

Language:Python000

DeepBSDE

Deep BSDE solver in TensorFlow

Language:PythonMIT000

DeepNitscheMethod

Code for "Deep Nitsche Method: Deep Ritz Method with Essential Boundary Conditions"

Language:Python000

DeepRitz

Implementation of the Deep Ritz method and the Deep Galerkin method

Language:PythonMIT010

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

Language:Jupyter Notebook010

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

Language:PythonMIT010

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.

Language:Jupyter Notebook010

HFM

Hidden Fluid Mechanics

Language:PythonMIT010

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）

000

loss-landscape

Code for visualizing the loss landscape of neural nets

Language:PythonMIT010

MFGnet.jl

A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems

Language:JuliaMIT010

NeuralPDE.jl

Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

Language:JuliaNOASSERTION010

NN-Schrodinger

Experiments and additional materials for Entropy research paper

Language:Jupyter Notebook010

NNets-and-Diffeqns

jupyter notebooks for the neural nets and differential equation paper

Language:Jupyter Notebook010

pde-estimation

Pytorch code for learning an underlying PDE from given data.

000

PDEsByNNs

This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.

Language:Jupyter NotebookMIT010

PFM.1D

1D Phase Field modeling

Language:MATLAB010

PICANNs

Physics Informed Convex Artificial Neural Networks

000

pinn_burgers

Physics Informed Neural Network (PINN) for Burgers' equation.

Language:PythonMIT010

PINNs-TF2.0

TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

Language:MathematicaMIT010

python_data_structures_and_algorithms

Python 中文数据结构和算法教程

Language:PythonMIT010

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》)

MIT000

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

000

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

Language:PythonMIT010

SA-PINNs

Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]

Language:Python010

torchcde

Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

Language:PythonApache-2.0010

two-asset-trading-bot

First trading algo: Long Short Momentum/Value ETFs

Language:Python000

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.

Language:Python000