Pinned Repositories
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
APMA2570a
awesome-cheatsheets
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
CBeamer
中文Beamer模板
deep-learning-notes
Experiments with Deep Learning
DeepLearning
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
ElegantBook
ElegantBook: An Elegant LaTeX Template for Books
FEM_Bilinear
Bilinear 2D Finite Element Method
FNFT
Fast numerical computation of (inverse) nonlinear Fourier transforms
fourier
Discrete and Fast Fourier (and inverse) transforms in Scheme
yueyf0516's Repositories
yueyf0516/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
yueyf0516/awesome-cheatsheets
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
yueyf0516/deep-learning-notes
Experiments with Deep Learning
yueyf0516/DeepLearning
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
yueyf0516/ElegantBook
ElegantBook: An Elegant LaTeX Template for Books
yueyf0516/FNFT
Fast numerical computation of (inverse) nonlinear Fourier transforms
yueyf0516/fourier_neural_operator
Use Fourier transform to learn operators in differential equations.
yueyf0516/InverseTransformSampling-1
Drawing values of random variable from probability distribution using Inverse Transform Sampling
yueyf0516/lantern
🔴蓝灯最新版本下载 https://github.com/getlantern/download 🔴 Lantern Latest Download https://github.com/getlantern/download 🔴
yueyf0516/Learning-Python-Physics-Informed-Machine-Learning-PINNs-DeepONets
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
yueyf0516/M3M6AppliedComplexAnalysis
Lecture notes and course material for M3M6 Applied Complex Analysis at Imperial College
yueyf0516/M3M6MethodsOfMathematicalPhysics
Lecture notes for M3M6 Methods of Mathematical Physics
yueyf0516/manim
Animation engine for explanatory math videos
yueyf0516/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
yueyf0516/Neural-ODE-Experiments
This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data
yueyf0516/PDEBench
PDEBench: An Extensive Benchmark for Scientific Machine Learning
yueyf0516/Physics-Informed-Neural-Networks
Investigating PINNs
yueyf0516/PINNpapers
Must-read Papers on Physics-Informed Neural Networks.
yueyf0516/PINNs
PyTorch Implementation of Physics-informed Neural Networks
yueyf0516/PINNs-Tutorial
yueyf0516/PyTorchTutorial
Examplary code for NN, MFNN, DynNet, PINNs and CNN
yueyf0516/RHPackage
A Mathematica package for solving Riemann–Hilbert problems numerically
yueyf0516/rogue-waves
yueyf0516/rogue-waves-1
Includes supplementary data, movies, and numerical routines to compute infinite order rogue waves.
yueyf0516/SA-PINNs
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
yueyf0516/Simulations-on-solutions-of-Schrodinger-s-Equation-with-MATLAB
There are different examples regarding a single particle which is trapped inside different potential distributions in one-dimensional, two-dimensional or threedimensional cases. In each case we will discuss the example by applying Schrodinger’s equation and coming to conclusions about the motion of the particle and probabilities of finding the particle. Also, we simulate results from the Schrodinger’s equation with MATLAB software package using different numerical techniques and inbuilt libraries to plot resulting functions.
yueyf0516/SolitonTools
It aims to help the novices to study the concepts of soliton, and solve equations by mathematica and matlab.
yueyf0516/TensorDiffEq
Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
yueyf0516/tutorials
Tutorials on deep learning, Python, and dissipative particle dynamics
yueyf0516/USTC-CS-Courses-Resource
:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)