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Location: shenzhen

yangsustc's Projects

advanced-machine-learning-coursera

Coursera - Advanced Machine Learning Course

allen-cahn-fno

Fourier Neural Operators to solve for Allen Cahn PDE equations

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.

book

个人认为对技术提升很不错的书

deepbsde

Deep BSDE solver in TensorFlow

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)

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

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.

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

learn_python

Python 学习笔记

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

machienelearningprojects

All machiene learning Side projects

mfgnet.jl

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

natural-language-processing

Learning_Notes

neural_differential_equations

This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube

neuralpde.jl

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

nlp

兜哥出品 <一本开源的NLP入门书籍>

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).

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