【编程随想】收藏的电子书清单（多个学科，含下载链接）

吴恩达的深度学习作业代码示例

Coursera Machine Learning (Andrew Ng) --- python code

机器学习-Coursera-吴恩达- python+Matlab代码实现

Efficient and accurate inversion of multiple scattering with deep learning

Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf

Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems

Machine learning of linear differential equations using Gaussian processes

Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations

A Benchmark for Seismic Velocity Inversion from Synthetics

RTM of simultaneous-source data

吴恩达老师的机器学习课程个人笔记

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

TensorFlow Tutorial and Examples for beginners

Data denoising with auto-encoders. Python3/TensorFlow implementation.

A curated list of awesome Machine Learning frameworks, libraries and software.

An Efficient Two-Level Preconditioner for Multi-Frequency Wave Propagation Problems: Numerical Examples and MAPLE derivations.

Python implementation of {global, multi-shifted, nested} GMRES variants.

FreeFEM source code

Solution of elastic wave equation in 3D using standard CG approach with MFEM library

Elastic 2D and 3D wave simulation with spectral element method

Benchmark problems in 2D and 3D for the elastic wave equation.

Implementation of multigrid algorithm for 2d Helmholtz problem.

Read and write SEGY formatted files using Matlab/Octave

Seismic Simulation, Survey, and Imaging (SSSI)

finite difference wave propagation in 2D for Matlab. Both SH and P-SV, with forward and adjoint calculations and the possibility to compute kernels