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100-days-of-ml-code

100 Days of ML Coding

5_ways_2d_histograms

5 Ways to do 2D Histograms in R

a-beginner-guide-to-carry-out-extreme-value-analysis-with-codes-in-python

A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential intervals, IDF/DDF, and a simple application of IDF information for roof drainage design. The guide mainly focuses on extreme rainfall analysis. However, the basic steps are also suitable for other climatic or hydrologic variables such as temperature, wind speed or runoff.

a-complete-course-on-linux-bash-shell-scripting-with-real-life-examples

Code Repository for A Complete Course on Linux Bash Shell Scripting with Real Life Examples, published by Packt

abc

Artificial Bee Colony (ABC) algorithm implementation.

artificial-bee-colony

A python implementation of clustering optimization using the Artificial Bee Colony algorithm

auckland_python_workshop

Python for Climate and Meteorological Data Analysis and Visualisation

avhrr_gimms_lai3g

AVHRR GIMMS LAI3g version 2

bash-scripting-linux-and-shell-programming-complete-guide

Code Repository for Bash Scripting, Linux and Shell Programming Complete Guide, published by Packt

bbdown

Bilibili Downloader. 一款命令行式哔哩哔哩下载器.

bees3041_lab_photosynthesis

BEES3041: Modelling the photosynthetic response to environmental conditions

big-data-processing-with-hadoop-a-complete-reference-guide

Design, build, and execute effective big data strategies with advanced Hadoop concepts

big_leaf_vs_two_leaf

biome-bgc

Biome-BGC ecophysiological model

building-machine-learning-systems-with-python-second-edition

Building Machine Learning Systems with Python by Packt Publishing

calculate-precipitation-based-agricultural-drought-indices-with-python

Precipitation-based indices are generally considered as the simplest indices because they are calculated solely based on long-term rainfall records that are often available. The mostly used precipitation-based indices consist of Decile Index (DI) Hutchinson Drought Severity Index (HDSI) Percen of Normal Index (PNI) Z-Score Index (ZSI) China-Z Index (CZI) Modified China-Z Index (MCZI) Rainfall Anomaly Index (RAI) Effective Drought Index (EDI) Standardized Precipitation Index (SPI).

canopy_scaling

Explore impact of canopy scaling assumption on response of A to CO2

clim3001_lab_photosynthesis

CLIM3001: Modelling the photosynthetic response to environmental conditions

climate-data-science

Climate Data Science and Earth Observation with Python.

climate-informatics-2023

Conference website for Climate Informatics 2023.

climate_indices

Climate indices for drought monitoring, community reference implementations in Python

climatecrisishackathon_aiart

Climate AI art for a hackathon

cnn-rnn-yield-prediction

This repository contains codes for the paper entitled "A CNN-RNN Framework for Crop Yield Prediction"

coupled_a_gs_leaf_temp_transp

Iteratively solve leaf temperature, Ci, gs, An and transpiration

coupled_canopy

courses-intro-to-git

Introduction to Git for Data Science by Greg Wilson

crop-evapotranspiration

This model is design by FAO and its use for calculating the amount of water that is lost due to evaporation or absorbed by the plant due to transpiration during the cultivation cycle.

crop-recommendation-system

A mobile application involving machine learning to recommend crop variety and also predict crop yield.

crop-stress-classification

This repository contains codes for the paper entitled "Classification of Crop Tolerance to Heat and Drought: A Deep Convolutional Neural Networks Approach"

crop-yield-prediction

Learning to predict local crop yield using deep learning and globally labelled satellite images