asiya-z's repositories
eo-learn
Earth observation processing framework for machine learning in Python
intro-terra-ecodatascience
Introduction to using the R package terra for raster spatial data manipulation
handson-ml3
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.
scalable-computing-examples
Companion repository for examples from the scalable-computing-course
deep-learning-for-earth-observation
Application of deep learning for earth observation.
R_test
test of course R feb 2024
dplyr
dplyr: A grammar of data manipulation
ml-course-hse
Машинное обучение на ФКН ВШЭ
ml-course
Open Machine Learning course
Deep_learning_school
Решения домашних заданий продвинутого потока курса "Deep Learning" Школы глубокого обучения ФПМИ МФТИ
website2022
ICESat-2 Hackweek 2022 landing page and jupyter book
LT-GEE
Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:
dvm-dos-tem
A process based Dynamic Vegetation, Dynamic Organic Soil, Terrestrial Ecosystem Model.
geemap
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.
NSIDC-Data-Tutorials
Jupyter notebook-based tutorials to learn how to access and work with select NSIDC DAAC data.
wesanderson
A Wes Anderson color palette for R
workshops
Online material for various workshops
GDAL_OGR_Python_Workshop_2021
Репозиторий для мастер-класса по базовому использованию GDAL/OGR в Python для #спбгеотех
earthengine-api
Python and JavaScript bindings for calling the Earth Engine API.
Spatial-R-PhD-course
Data and information for GGBC PhD course in spatial analyses in R
ai2es_xai_course
Notebooks for AI2ES (NSF Institute for Research on Trustworthy Artificial Intelligence in Weather, Climate, and Coastal Oceanography) short course on XAI (explainable artificial intelligence).
pythonhse
Программирование на языке Python для сбора и анализа данных (НИУ ВШЭ)