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
Documentation and samples for ArcGIS API for Python
A curated list of awesome Machine Learning frameworks, libraries and software.
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.
New implementation of geopandas + dask
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
Educational Resources on Neural Networks for Ecology and Remote Sensing
Automatic Mapping of Thermokarst Landforms from Remote Sensing Images Using Deep Learning: A Case Study in the Northeastern Tibetan Plateau
Introduction to convolutional neural networks (CNNs) with a remote sensing example.
Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery
Machine Learning with Python
GANs in slanted land
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
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.
processing geochemical data using centre log ratio transformation "CLR" and principal component analysis "PCA"
Python tools for geographic data
Experiments with Remote Sensing Imagery Classification
Learning Geospatial Analysis with Python – Third Edition, published by Packt
Python实现经典分类回归、关联分析、聚类以及推荐算法等
Implementation of popular ML algorithms from scratch
Various projects in Linear Regression, Logistic Regression, k Nearest Neighbors, Decision Trees, Random Forests, SVM
This repository contains Machine Learning with Python Projects, which are designed by freeCodeCamp for machine learning with python course.
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.
Predict mining prospects and mineral deposits using deep learning and satellite imagery
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
Mineral Prospectivity Mapping (MPM) tools
Repository containing all code relating to the developement and creation of the MMAN4020 Thesis B Final Report
IPython Notebook for a pilot project designed to integrate spatial geoscience data and create a mineral potential map.
Spatial Data Management with PostgreSQL and PostGIS https://gishub.org/sdm