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ann-fundamentals

This is the repository for D-Lab’s Artificial Neural Network (ANN) Fundamentals in Python workshop. These materials were authored and contributed by [Qingkai Kong](http://seismo.berkeley.edu/qingkaikong/).

dynatopmodel

Code of the dynatopmodel package

ecostress-et

ecostress-workshop

er-site-metadata

functions and scripts for producing geospatial and other metadata for research sites in Colorado's East River watershed

er131_2020

fia_exploration

Sandbox for data ingest and EDA for FIA data

handan-nader_cafo_public

Replication code for "Deep Learning to Map Concentrated Animal Feeding Operations"

hmworsham.github.io

personal site

imageanalysis_cml

Semantic Image Search with Convolutional Neural Networks

lab-notebook

The open, ongoing record of my scientific research. Exists in place of a bound paper notebook. A tool primarily for pursuing science, not publishing or communicating it. Therefore, pardon the mess.

mdplearning

:package: Bayesian Learning Algorithms for Markov Decision Processes

mixed-models-r

This is the companion slides, data, and RStudio project for a workshop on mixed models.

ml-examples

demo machine learning models from various sources

nifty

personal helper functions for tasks I end up doing a lot

open-water-rate-specification

A machine-readable format for storing and sharing water rate structures.

pylidar

A set of Python modules which makes it easy to write lidar processing code in Python

pypwaves

python library for reading and processing full waveform PulseWaves files

r-data-wrangling

D-Lab's 6 hour introduction to data wrangling with R. Learn how to manipulate dataframes using the tidyverse in R.

r-fundamentals

D-Lab's 12 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.

r-shiny-tutorial

Slides and exercises for the video tutorial at https://shiny.rstudio.com/tutorial/

rmbl-sdp-api

access to RMBL spatial data platform

rpeaks

This is a re-write of the R Peaks package maintained by M.Kondrin based upon a C library written by Miroslav Morhac. rPeaks was written to use current build techniques.

savio-starter-kit

starter-kit for running stuff on the Berkeley Research Cluster Savio cluster Batteries Included!:battery:

siteselection

tools for selecting research sites in Colorado's East River watershed

stat243-fall-2022

This repository holds course materials for the fall 2022 offering of Statistics 243 at UC Berkeley.

storage_cvs

topographer

data manipulation and calculations for raster-based topographic metrics

waveformlidar

waveform LiDAR data processing and analysis