Caffe implementation of our multi-scale object detection framework

PyTorch implementations of Generative Adversarial Networks.

Image-to-Image Translation in PyTorch

Complex seismic data reconstruction and interpolation

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

3D Fault Segmentation by U-Net

2D/3D serial and parallel triangular mesh generation tool for finite element methods.

FaultSeg3D的pytorch版本

人工智能在石油测井上的应用包括采用机器学习，深度学习等相关方法进行岩性识别与相关测井曲线的回归。The application of artificial intelligence in well logging includes the use of machine learning, deep learning and other related methods for litholog…

开源的测井数据集 Open source well logging data set 适用于机器学习分析地下储层岩性识别与分类

Semantic segmentation models with 500 pretrained convolutional and transformer-based backbones.

[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

Seismic Foundation Model

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

[AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models