zhu-shengwei Goto Github PK

3d-unet-pytorch-implementation

The implementation of 3D-UNet using PyTorch

3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

4d-seismic-neural-inversion

Deep Neural Networks for Map-Based 4D Seismic Pressure-Saturation Inversion

asap

Anomaly Screening Applying Pseudowells (ASAP). FORCE Hackathon, Stavanger 18-19 September 2018.

asi-pytorch

Pytorch implementations of "Automatic Seismic Interpretation" publications and repositories

awesome-open-geoscience

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

bayseg

An unsupervised machine learning algorithm for the segmentation of spatial data sets.

bearing_detection_by_conv1d

beginning-python-3ed

Source code for 'Beginning Python' by Magnus Lie Hetland

cnn-for-asi

Tutorial: Convolutional Neural Networks for Automated Seismic Interpretation

d2l-zh

《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning-applied-to-seismic-data

deep-learning-har

Convolutional and LSTM networks to classify human activity

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearning-models

A collection of various deep learning architectures, models, and tips

ebooks-of-geophysics

EBooks-of-Geophysics

elastic-impedance-inversion-using-recurrent-neural-networks

Codes and data for the paper: M. Alfarraj, and G. AlRegib, "Semi-Supervised Sequence Modeling for Elastic Impedance Inversion," in Interpretation, Aug. 2019

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" (accepted for publication in the SEG Interpretation Journal, May 2019).

faultseg

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

gempy

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.

geo-style-keras

Keras implementation of neural style transfer applied to elastic subsurface models

geophysical_notes

Collection of geophysical notes in the form of IPython/Jupyter notebooks.

gio

Geoscience I/O

gold-miner

🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台：

hands_on_ml_with_sklearn_and_tf

OReilly Hands On Machine Learning with Scikit Learn and TensorFlow (Sklearn与TensorFlow机器学习实用指南)

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

ipf

Seismic image processing for geologic faults

juwvid

Julia code for the time-frequency analysis