petrovskaia

ace

Ai2 Climate Emulator

UKCP18adjust

UKCP18adjust applies adjustments to UKCP18 daily data to make it more consistent with observed data

GDD_calculator

Calculate Growing Degree Days from weather history data available from NOAA.

Awesome-Geospatial-ML-Toolkit

Awesome Environmental Geospatial is a curated collection of cutting-edge tools, resources, and projects that harness the power of geospatial technologies to address pressing environmental challenges.

getgfs

getgfs extracts weather forecast variables from the NOAA GFS forecast with no obscure, platform specific, dependencies

weather-tools

Tools to make weather data accessible and useful.

unconditional-time-series-diffusion

Official PyTorch implementation of TSDiff models presented in the NeurIPS 2023 paper "Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting"

Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_DeepONets

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

graphcast

Awesome-TimeSeries-SpatioTemporal-Diffusion-Model

A survey and paper list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).

hachiko_manuals

Manuals for DXG-1 servers Hachiko 1, 2 in Skoltech.

modulus-makani

Massively parallel training of machine-learning based weather and climate models

geo_prior

Presence-Only Geographical Priors for Fine-Grained Image Classification - ICCV 2019

open-sustainable-technology

A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources.

open-sustainable-technology

A curated list of open technology projects to sustain a stable climate, energy supply, and natural resources.

deep-image-prior-landsat

A single image deep learning approach to restoration of corrupted remote sensing products

MapTilesDownloader

A super easy to use map tiles downloader built using Python

rtdl

Research on Tabular Deep Learning: Papers & Packages

pylustrator

Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have different formats and shapes, the visualisations often have to be adapted to reflect the data as well as possible. We developed Pylustrator, an interface to directly edit python generated matplotlib graphs to finalize them for publication. Therefore, subplots can be resized and dragged around by the mouse, text and annotations can be added. The changes can be saved to the initial plot file as python code.

pygwalker

PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

compGeo

Computational geosciences resource at UiS

DL

Курс "Глубокое обучение (Deep Learning)" (ВМК, МГУ имени М.В. Ломоносова)

ttpy

Python implementation of the TT-Toolbox

pyRothC

python version of RothC 26.3 Soil Carbon Model

Kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

segment-geospatial

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

WOFOST

FORTRAN version of the WOrld FOod STudies (WOFOST) crop simulation model.

rosreestr2coord

Вычисление координат участка по кадастровому номеру с сайта https://pkk.rosreestr.ru

sber235

Прикладная математика для анализа данных: оптимизация, матрицы, тензоры.

GEES2Downloader

Downloader for GEE S2 bands