leoATxinyu's repositories
geo-selection-inversion
Implementation and demo for "Convolutional neural networks (CNN) for feature-based model calibration under uncertain geologic scenarios" by Mohd-Razak and Jafarpour (2020) as published in Computational Geosciences.
TgNN-Surrogate
The construction of TgNN surrogate
3D-GMPDCNN
Some code of the implements of Geological Modeling Using 3D Pixel-Adaptive and Deformable Convolutional Neural Network
ArbSR
[ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution
CNNMRF-Convolutional-neural-network-and-Markov-random-fields
Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis
Complex-CNN-Seismic
Code accompanying the paper "Complex-valued neural networks for machine learning on non-stationary physical data".
CVPR2022-Papers-with-Code
CVPR 2022 论文和开源项目合集
DeepHyperX
Deep learning toolbox based on PyTorch for hyperspectral data classification.
DTC
Semi-supervised Medical Image Segmentation through Dual-task Consistency
dtw
Code to perform dynamic time warping on geological time series data
DTW-Merge
DTW-Merge: A DTW-based Data augmentation method
GeoStack
A stacking method of machine learning applied to geological geophysical datasets for 3D geological modeling
Global-Seismic-Spider-Analysi
这是一篇全球地震数据爬取与数据分析的实战教学
gravel-object-detection
To detect geological gravels and classify them by NEW YOLO v3 MODEL.
HOMRF
Deformable Image Registration Based on High-Order Markov Random Field
ImplicitFunction
Code to construct implicit RBF surfaces.
inpynting
Image inpainting using Markov random field modelling
Markov-Random-Field-Project
This project has two parts. In part one, we use markov random field to denoise an image. In Part two, we use similar model for image segmentation.
mathtoolbox
Mathematical tools (interpolation, dimensionality reduction, optimization, etc.) written in C++11 with Eigen
Nyx
Fast and scalable RBF interpolation
podrbf_nirom
Non-intrusive reduced order models using proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation for shallow water equations
RBF_interpolation
RBF_interpolation is Interpolation and Approximation using Radial Base Functions (RBF) based on Eigen
RBFinterpolation
C++ code for RBF training and interpolation used in the CIFDP project
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_deep_learning
A couple of python scripts to interpret geological structures from geophysical images using deep learning
SeismicNet
Seismic horizons detecting neural network
SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
torch-MRF
this repo implements [Deep Markov Random Field for Image Modeling](https://arxiv.org/abs/1609.02036) in *PyTorch*
Upscaling-based-on-TgCNN
Project: Efficient upscaling of geologic model based on theory-guided encoder-decoder
YOT
Implementation of "Digital image inpainting based on markov random field"