daniel-trung-nguyen Goto Github PK

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

ag_ecosopt

Ag_EcoSOpt is an open-source software-based decision-support tool that incorporates the concepts of ecosystem modelling, ecosystem services tradeoffs, economic valuation and optimization, and land management and land use change decision making in agricultural production systems. It has two main components with several attached modules. The ecological qualification component is used to quantify changes in ecosystem functions (e.g. greenhouse gas emissions, soil organic matter, water loss, nitrogen leaching, crop yield, and crop residue) in response to changes in human decision making on land management practices or land uses. It integrates two core models: (1) DAYCENT, a biogeochemical model created by the Natural Resources and Ecology Laboratory at Colorado State University; and (2) The Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation Model (GREET) created by Argonne National Laboratory. The optimization component includes a spreadsheet-based module or standalone MATLAB application for farm-gate optimization or supply chain optimization of end use products (e.g. grain for cattle feed or biofuel, biomass for electricity or biofuel). Ag_EcoSOpt supports multilevel decision making for crop lands in the United States such as individual farms or landscape, user-defined time frames (1-50 years), and farm-gate or supply chain analysis.

anl_corn_soy_rotation

article-title

Extract the article title of a HTML document

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

cnn-sentinel

Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)

coursera-dl

Script for downloading Coursera.org videos and naming them.

daniel-trung-nguyen.github.io

dea-notebooks

Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and xarray

dndc_streamlit

ecosys

The ECOSYS model for terrestrial ecosystem biogeochemistry

ecosystem-transpiration

Code and examples of how to estimate transpiration from eddy covariance data.

eurosat_cnn-land-classifier

evapotranspiration

Scripts for calculating pET and cropET

farm-pin-crop-detection-challenge

8th place solution to Zindi's FarmPin Crop Detection Challenge

ffmpeg-for-google-drive

gdal-cheat-sheet

Cheat sheet for GDAL/OGR command-line tools

geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.

gentle

gentle forced aligner

geosample

Spatially balanced sampling with Generalized Random Tessellation Stratified (GRTS)

geospatial_python_coursev1

This is an collection of blog posts turned into a course format

how-to-fill-missing-precipitation-data-with-neural-networks-in-python

ibmcoursera

javascript-obfuscator

A powerful obfuscator for JavaScript and Node.js

landcover_classification

Determine land use and land cover classification based on Sentinel-2 satellite images with state-of-the-art performance 🛰

langdata

Source training data for Tesseract for lots of languages

llm-python

Large Language Models (LLMs) tutorials & sample scripts, ft. langchain, openai, llamaindex, gpt, chromadb & pinecone

machine-learning-a-z

Machine Learning A-Z

mcmc

Implementation of Markov Chain Monte Carlo in Python from scratch

multi-agent-postgres-data-analytics

The way we interact with our data is changing.