sonthuybacha's repositories
30DayMapChallenge-Bot
Monitoring #30DayMapChallenge on Twitter
AI-and-Machine-Learning-workshop-in-Paschimanchal-Campus
Collection of notebook and slides for AI workshop , WRC Pokhara
awesome-forests
🌳 A curated list of ground-truth forest datasets for the machine learning and forestry community.
DataPlotly
D3 like plots creation with plotly in QGIS
deafrica-sandbox-notebooks
Notebooks for the Digital Earth Africa Sandbox
gee-ccdc-tools
Tools and Earth Engine apps to interact with the outputs from the CCDC algorithm
hands-on-ggplot2-training
Material for the Pearson Live Training Session “Hands–On Data Visualization with ggplot2” for O’Reilly
ml_drought
Machine learning to better predict and understand drought. Moving github.com/ml-clim
owid-datasets
OWID Dataset Collection
prettymaps
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
python-for-geospatial-data-analysis
This includes short and minimalistic few sessions covering fundamentals of Python programing language for geospatial data analysis.
r-for-geographic-data-science
R for Geographic Data Science
radar-based-flood-mapping
This repository contains a Jupyter Notebook for automatic flood extent mapping using space-based information.
REcol-verse
A list of R packages that are focused on Ecology
Satellite_Imagery_Analysis
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
sentinel-tree-cover
Image segmentations of trees outside forest
tidygeocoder
Geocoding Made Easy
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
graph-fraud-detection-papers
A curated list of fraud detection papers using graph information or graph neural networks
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Hyperspectral_Image_Analysis_Simplified
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
osmextract
Download and import OpenStreetMap data from Geofabrik and other providers
review-response-template
LaTeX template for the response to reviewer comments (scientific journal publications)
SDS375
SDS 375 Data Visualization in R