yangsustc

shenzhen

Pinned Repositories

Advanced-Machine-Learning-Coursera
Coursera - Advanced Machine Learning Course
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Allen-Cahn-FNO
Fourier Neural Operators to solve for Allen Cahn PDE equations
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aravec
AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.
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DeepBSDE
Deep BSDE solver in TensorFlow
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DeepGalerkinMethod
Companion code for "Solving Nonlinear and High-Dimensional Partial Differential Equations via Deep Learning" by A. Al-Aradi, A. Correia, D. Naiff, G. Jardim and Y. Saporito (https://arxiv.org/abs/1811.08782)
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DeepNitscheMethod
Code for "Deep Nitsche Method: Deep Ritz Method with Essential Boundary Conditions"
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DeepRitz
Implementation of the Deep Ritz method and the Deep Galerkin method
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DeepRitzMethod
Group project for Deep Learning: Algorithms and Applications in Peking University 2018 Spring. This is a brief survey, discussion and implementation for deep Ritz method.
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MachieneLearningProjects
All machiene learning Side projects
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WAN_PDE
Weak Adversarial Networks for high-dimensional PDE with Neural ODEs
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yangsustc's Repositories

yangsustc/WAN_PDE
Weak Adversarial Networks for high-dimensional PDE with Neural ODEs
Language:Jupyter Notebook14
yangsustc/Allen-Cahn-FNO
Fourier Neural Operators to solve for Allen Cahn PDE equations
Language:Python00
yangsustc/DeepBSDE
Deep BSDE solver in TensorFlow
Language:Python0 0 00
yangsustc/DeepNitscheMethod
Code for "Deep Nitsche Method: Deep Ritz Method with Essential Boundary Conditions"
Language:Python00
yangsustc/DeepRitz
Implementation of the Deep Ritz method and the Deep Galerkin method
Language:Python00
yangsustc/book
个人认为对技术提升很不错的书
yangsustc/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
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yangsustc/fourier_neural_operator
Use Fourier transform to learn operators in differential equations.
yangsustc/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.
yangsustc/HFM
Hidden Fluid Mechanics
yangsustc/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）
yangsustc/loss-landscape
Code for visualizing the loss landscape of neural nets
yangsustc/MFGnet.jl
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems
yangsustc/NeuralPDE.jl
Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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yangsustc/NN-Schrodinger
Experiments and additional materials for Entropy research paper
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yangsustc/NNets-and-Diffeqns
jupyter notebooks for the neural nets and differential equation paper
yangsustc/pde-estimation
Pytorch code for learning an underlying PDE from given data.
yangsustc/PDEsByNNs
This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.
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yangsustc/PFM.1D
1D Phase Field modeling
yangsustc/PICANNs
Physics Informed Convex Artificial Neural Networks
yangsustc/pinn_burgers
Physics Informed Neural Network (PINN) for Burgers' equation.
yangsustc/PINNs-TF2.0
TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
yangsustc/python_data_structures_and_algorithms
Python 中文数据结构和算法教程
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yangsustc/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》)
yangsustc/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
yangsustc/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
yangsustc/SA-PINNs
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
yangsustc/torchcde
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
yangsustc/two-asset-trading-bot
First trading algo: Long Short Momentum/Value ETFs
yangsustc/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.