GithubHelp home page GithubHelp logo
Abdallah Mohamed Taha photo

abdallah-m-ali Goto Github PK

followers: 10.0 following: 18.0 repos: 44.0 gists: 0.0

Name: Abdallah Mohamed Taha

Type: User

Company: China University of Mining and Technology

Bio: I am a GIS analyst who is quite interested in remote sensing and geological data interpretation. specifically, in machine learning and deep learning application

Location: Xuzhou, Jiangsu, China

Abdallah Mohamed Taha's Projects

content_guided_cnn icon content_guided_cnn

Q. Liu, L. Xiao, J. Yang and J. C. Chan, "Content-Guided Convolutional Neural Network for Hyperspectral Image Classification," in IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 9, pp. 6124-6137, Sept. 2020, doi: 10.1109/TGRS.2020.2974134.

deep-forest icon deep-forest

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

deeplabforrs icon deeplabforrs

Automatic Mapping of Thermokarst Landforms from Remote Sensing Images Using Deep Learning: A Case Study in the Northeastern Tibetan Plateau

dl_tutorial_rs icon dl_tutorial_rs

Introduction to convolutional neural networks (CNNs) with a remote sensing example.

earthmapper icon earthmapper

Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery

gcforest icon gcforest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

gempy icon 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 address parameter and model uncertainties.

machine-learning-projects icon machine-learning-projects

Various projects in Linear Regression, Logistic Regression, k Nearest Neighbors, Decision Trees, Random Forests, SVM

mapas-minera-rs icon mapas-minera-rs

Mapas da publicação diagnostico setorial mineral - volume II publicado pelo departamento de mineração da secretaria de meio ambiente e infraestrutura do Rio Grande do Sul.

mapo icon mapo

Predict mining prospects and mineral deposits using deep learning and satellite imagery

mineral-prospectivity-mapping-ml icon mineral-prospectivity-mapping-ml

Application of Machine Learning to map mineral prospectivity using remote sensing and geological data. This research project select four supervised learning methods (RF, SVM, ANN, and CNN) to predict gold prospection in Hamassana area north east Sudan

mpm_pilot icon mpm_pilot

IPython Notebook for a pilot project designed to integrate spatial geoscience data and create a mineral potential map.

postgis icon postgis

Spatial Data Management with PostgreSQL and PostGIS https://gishub.org/sdm

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.