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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

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

inversetransformsampling

Matlab implementation of inverse transform sampling in 1D and 2D

inversetransformsampling-1

Drawing values of random variable from probability distribution using Inverse Transform Sampling

kdv_fourier

KdV double soliton with Fourier spectral methods

lantern

🔴蓝灯最新版本下载 https://github.com/getlantern/download 🔴 Lantern Latest Download https://github.com/getlantern/download 🔴

learning-python-physics-informed-machine-learning-pinns-deeponets

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

m3m6appliedcomplexanalysis

Lecture notes and course material for M3M6 Applied Complex Analysis at Imperial College

m3m6methodsofmathematicalphysics

Lecture notes for M3M6 Methods of Mathematical Physics

manim

Animation engine for explanatory math videos

mathematica

Mathematica notebooks

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

neural-ode-experiments

This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data

pdebench

PDEBench: An Extensive Benchmark for Scientific Machine Learning

physics-informed-neural-networks

Investigating PINNs

pinnpapers

Must-read Papers on Physics-Informed Neural Networks.

pinns

PyTorch Implementation of Physics-informed Neural Networks

pinns-tutorial

pytorchtutorial

Examplary code for NN, MFNN, DynNet, PINNs and CNN

rhpackage

A Mathematica package for solving Riemann–Hilbert problems numerically

rogue-waves