fasikaw Goto Github PK
Name: Fasikaw Atanaw
Type: User
Company: Bahir Dar University
Location: Ethiopia
Name: Fasikaw Atanaw
Type: User
Company: Bahir Dar University
Location: Ethiopia
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.
My notes for coursera course AI TensorFlow in Practice Specialization.
Assessing the dry spell patterns in the northern region of Ghana, near Burkina Faso.
Repository for Jupyter Notebook examples associated with the NASA ARSET Training, "Fundamentals of Machine Learning for Earth Science"
:memo: An awesome Data Science repository to learn and apply for real world problems.
Bias correction for streamflow time series
Compilation of R and Python programming codes
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Implementation of FAO 56 (similar to CropWat, but with expanded features) in R
curvenumber: an R package to calculate Base Flow Index and Curve Number for gauged and ungauged river catchments
Repository created for the data science course assignment
a curated list of R tutorials for Data Science, NLP and Machine Learning
PyTorch implementation of Deep Gaussian processes with various inference algorithms using probabilistic programming.
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
A land use land cover disaggregation and change detection model
Dive into Machine Learning with Python Jupyter notebook and scikit-learn
Python and JavaScript bindings for calling the Earth Engine API.
Tutorials and content created by Earth Engine users, for Earth Engine users
Code examples from graduate water resources systems engineering class
Python Module for Interfacing with EPANET
UC Davis ECI 289I code examples
Finite difference model building and application course in Python (jupyter notebooks)
Parameter estimation and model calibration using Genetic Algorithm optimization in Python.
The script generates soil map for any place in the world
Python tools for geographic data
An introduction to geospatial analysis using Google Earth Engine
Python toolkit for Bayesian parameter inference, model calibration, and model selection using Nested Sampling
GSFlow ArcPy Tools
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.