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pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
This repository contains implementations and illustrative code to accompany DeepMind publications
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
High-Resolution Image Synthesis with Latent Diffusion Models
3D U-Net model for volumetric semantic segmentation written in pytorch
GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatist…
Geostatistical variogram estimation expansion in the scipy style
A couple of python scripts to interpret geological structures from geophysical images using deep learning
This is a collection of geostatistical scripts written in Python
Periodic Spatial Generative Adversarial Networks
GSLIB fortran code wrapped into python
Visualize Eclipse/Petrel outputs Grid File (GRDECL) using Paraview(VTK)
A C++ class for Mutiple Point Simulation algorithms
data-driven seismic horizon tracking using non-local dynamic time warping
Conditioning of three-dimensional geological and pore scale generative adversarial networks
A collection of functions for reading, displaying, transforming and analyzing geophysical data.
Directly Conditional Facies Modeling Using an Improved Progressive Growing of Generative Adversarial Networks (GANs)
Unconditional Geomodeling related work (codes, data, and results)
A nearest neighbor multiple-point statistics method for fast geological modeling
Computing dip and azirmute attribute on 3D seismic data from gradient structure tensors