f1399663811 Goto Github PK

activityrecognitionflow

对原始数据集进行预处理，窗口划分，特征提取，特征融合，分类识别

axitra

numerical modelling of seismic wave propagation in 3D with flat layer models

cnn-svm

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

cnnforfaultinterpretation

Deep Convolutional Neural Network for Automatic Fault Recognition from 3D Seismic Dataset

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

deepsvmnet

Training deep support vector machine (SVM) networks using a novel back sign signal propagation (BSSP) learning algorithm

dtl_tfc_vibration_identification

Deep Transfer Learning and Time-Frequency Characteristics-Based Identification Method for Structural Seismic Response

electromagnetic-signal-recognition-using-deep-learning

em

Electromagnetic methods in geophysics - open educational resources.

em3dvp

EM3DVP: a Visual Package for 3D Geo-Electromagnetic modeling and inversion

empymod

Full 3D electromagnetic modeller for 1D VTI media

erinn

Electrical resistivity imaging based on deep learning

ertplot

Script to plot 2D electrical resistivity tomography (ERT) data with much more versatility than RES2DINV allows.

f1399663811

Config files for my GitHub profile.

facies_classification_benchmark

The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (published in the SEG Interpretation Journal, August 2019).

faultseg

Using synthetic datasets to train an end-to-end CNN for 3D fault segmentation (We are working on an improved version!)

fcnvmb-deep-learning-based-seismic-velocity-model-building

Deep-learning inversion: A next-generation seismic velocity model building method

first-commit

geophysics-2021-joint-learning-for-spatial-context-based-inversion

Contains codes for our paper titled ''Joint Learning for Spatial Context-based Seismic Inversion of Multiple Datasets for Improved Generalizability and Robustness" accepted to Geophysics.

matlab_deep_learning

《Matlab计算机视觉与深度学习实战》代码

mhe

Least-squares horizons with local slopes and multi-grid correlations

mt-csamt

一维层状模型大地电磁测深 (MT) 和可控源音频大地电磁测深 (CSAMT) 正演计算

mt2dfd

finite difference for magnetotelluric 2D forward modeling

pycsamt

Python for Controlled Source Audio-frequency Magnetotellurics (CSAMT)

python_segy

Generate sample data from .segy seismic data for deep learning based on pytorch

seis_matlablib

Matlab library which contains various functions and modules for seismology.

seismic-data-to-layer

seismic-fault-interpretation-using-deep-learning-based-semantic-segmentation-method

Seismic fault detection uses a simplified Semantic Segmentation Network(VGG 16) with HDC and ASPP.

seismic-transfer-learning

Deep-learning seismic facies on state-of-the-art CNN architectures