bdbomfim Goto Github PK

agml

AgML aims to be a common framework for agricultural machine learning data, models, and evaluation. Currently, AgML provides access to a wealth of public agricultural datasets for common agricultural deep learning tasks.

bashgit

D-Lab's 3 hour introduction to basic Bash commands and Git/GitHub.

biomass

bomfim-etal-2020-jgr

carbon-removal-source-materials

Source materials supporting Stripe Climate carbon removal purchases (http://stripe.com/climate)

data-science

fates

repository for the Functionally Assembled Terrestrial Ecosystem Simulator (FATES)

gapminder

Excerpt from the Gapminder data, as an R data package and in plain text delimited form

gcam-core

GCAM -- The Global Change Analysis Model

geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.

git-fundamentals

A starting point for discovering the wonderful world of Git, GitHub, and Git Annex (Assistant)

git_challenge

Git challenge exercise

introduction-to-pandas

Materials for the D-Lab's pandas workshop

master-s-thesis

Master's thesis - Forest Management - UnB

matplotlib

matplotlib: plotting with Python

pantropical-metaanalysis-cyclones

Scripts and data used in the cyclone-litterfall meta-analysis

physalia-gam-course

Generalized Additive Models; a data-driven approach to estimating regression models

programming-fundamentals

Introduction to Programming for UC Berkeley's D-Lab

python-data-visualization

D-Lab's 3 hour introduction to data visualization with Python. Learn how to create histograms, bar plots, box plots, scatter plots, compound figures, and more, using matplotlib and seaborn.

python-fundamentals

Introductory Python Series for UC Berkeley's D-Lab

python-machine-learning

Introduction to scikit-learn and TPOT

python-text-analysis-fundamentals

Computational text analysis for Spring 2019 by Caroline Le Pennec-Caldichoury

r-fundamentals

12-hour intro to data science in R, no prior knowledge assumed

redd_forest_carbon

This repository includes the data and code used to generate the above and belowground carbon estimates in the REDD+ methodology quality report.

savannasoilbiodiversityfunction

Code and data on savanna function and soil biodiversity

stat_rethinking_2022

Statistical Rethinking course winter 2022