haoli2025 Goto Github PK

100-days-of-ml-code

100 Days of ML Coding

30-days-of-python

30 days of Python programming challenge is a step by step guide to learn Python programming language in 30 days.

aglandscapes-what-or-how

Contains scripts and files related to a study of the relationship between crop yields and compositions and configuration of landscapes

an-introduction-to-statistical-learning

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

ar6

Figure and data generation for Chapter 7 of the IPCC's Sixth Assessment Report, Working Group 1 (plus assorted other contributions)

bambi

BAyesian Model-Building Interface (Bambi) in Python.

bhm-at-scale

🪜 Bayesian Hierarchical Models at Scale

budyko-qgis

QGIS interface to Budyko Hydological Model maintained by DTU Environment

causalinference

climate_extremes_agriculture

Analyse the effect of climate extremes on agricultural yields using Random Forests.

climate_indices

Climate indices for drought monitoring, community reference implementations in Python

command-line-quick-reference

quick reference on command line tools and techniques

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

couplings-heat-crops

Data and code for Lesk et al. 2021

covid19

A collection of scripts to collect covid19 data and some statistical models

crop-hourly-rainfall

Data and code for "Net benefits to crop yields from intensifying hourly rainfall", Lesk et al. 2020

crop-yields-hunger-and-climate

This project focused on predicting future hunger and food scarcity based on different climate conditions.

crops_and_oscillations

Scripts for analysing the relationship between climate oscillations and crop yields at global scale.

data-analysis

Data Science Using Python

data-science-ipython-notebooks

Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.

datacourse2018

Data Course Hydrology / Env. Science

datasciencepython

common data analysis and machine learning tasks using python

dea-notebooks

Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and xarray

dea-waterbodies

DEA Waterbodies is a product that maps and monitors open waterbodies across Australia. Once a polygon set has been generated corresponding to open waterbodies, each waterbody is tracked over time to record the change in wet surface area over time.

drought_features

run theory to characterize drought indices

earth-analytics-python-course

Materials for the earth-analytics-python course

earthengine-py-notebooks

A collection of 300+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

exploratory_computing_with_python

facynation

Forecasting Crop Yields on National scales (FACYNation)

github-cheat-sheet

A list of cool features of Git and GitHub.