29 Open source projects that are alternatives of or similar to tutorial-UGM-hyperspectral

Markov random fields with covariates

C++ based implementation of StatNLP framework

Automatic probabilistic programming for scientific machine learning and dynamical models

pyMCR: Multivariate Curve Resolution for Python

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

Java-based server framework of the graphical language server platform

Image Crowd Counting Using Convolutional Neural Network and Markov Random Field

Python toolkit for characterizing Coal and Open-pit surface mining impacts on American Lands

Source code of "A Single Model CNN for Hyperspectral Image Denoising"

Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).

Example diagram editors built with Eclipse GLSP

Software for learning sparse Bayesian networks

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.

This is the code for the paper nemed 'Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation'

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

A toolbox for differentially private data generation

QM model-based design tool and code generator based on UML state machines

Linear Gaussian Bayesian Networks - Inference, Parameter Learning and Representation. 🖧

pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models

Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum

Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles

Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.

Hyperspectral image Target Detection based on Sparse Representation

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

paper：Three-dimensional densely connected convolutional network for hyperspectral remote sensing image classification

Hyperspectral and soil-moisture data from a field campaign based on a soil sample. Karlsruhe (Germany), 2017.

Named Entity Recognition (LSTM + CRF) - Tensorflow

CRF, Partial CRF and Marginal CRF in PyTorch