fasikaw Goto Github PK

2018-10-10-instructortraining

a-machine-learning-approach-for-rainfall-estimation-integrating-hetorogeneous-data-sources

This project integrates diverse data sources (weather radar, satellite imagery, ground-based observations) using machine learning for accurate rainfall estimation. It overcomes limitations of individual sources, improving applications in agriculture, hydrology, and disaster management.

aitensorflowspecialization

My notes for coursera course AI TensorFlow in Practice Specialization.

applying-deep-learning-vs-machine-learning-models-to-reproduce-dry-spell-sequences

Assessing the dry spell patterns in the northern region of Ghana, near Burkina Faso.

arset_ml_fundamentals

Repository for Jupyter Notebook examples associated with the NASA ARSET Training, "Fundamentals of Machine Learning for Earth Science"

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

bmorph

Bias correction for streamflow time series

code

Compilation of R and Python programming codes

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cropwatr

Implementation of FAO 56 (similar to CropWat, but with expanded features) in R

curvenumber

curvenumber: an R package to calculate Base Flow Index and Curve Number for gauged and ungauged river catchments

datasciencecoursera-

Repository created for the data science course assignment

datasciencer

a curated list of R tutorials for Data Science, NLP and Machine Learning

deep-gaussian-processes

PyTorch implementation of Deep Gaussian processes with various inference algorithms using probabilistic programming.

deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

demeter

A land use land cover disaggregation and change detection model

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

earthengine-community

Tutorials and content created by Earth Engine users, for Earth Engine users

eci273

Code examples from graduate water resources systems engineering class

epanet-python

Python Module for Interfacing with EPANET

evolutionary-algorithms-course

UC Davis ECI 289I code examples

fdmodelbuildingcoursegroundwaterflow

Finite difference model building and application course in Python (jupyter notebooks)

flopy_custom_tutorial

galibrate

Parameter estimation and model calibration using Genetic Algorithm optimization in Python.

generate-soil-map

The script generates soil map for any place in the world

geopandas

Python tools for geographic data

geospatial_workshop_ee

An introduction to geospatial analysis using Google Earth Engine

gleipnir

Python toolkit for Bayesian parameter inference, model calibration, and model selection using Nested Sampling

gsflow-arcpy

GSFlow ArcPy Tools