mauramcdonagh

biomixQA

Repository for BiomixQA benchmark dataset

construction_zone

Modules for generating nanoscale+ atomic scenes, primarily using pymatgen as generators with S/TEM image simulation in mind

iMSMS_metabolomics

KG_RAG

Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

gis_playground

Repository for GIS analytics and mapping

getting-started

Repo for free course on getting started with R

LaTeX-Fundamentals

Leaflet-Maps-in-R

A 3-hour intensive workshop to introduce the R Leaflet package

ArcGIS-Online-Fundamentals

Machine-Learning-in-R

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

Qualtrics-Fundamentals

D-Lab's 3 hour introduction to Qualtrics Fundamentals. Learn how to design and manage your own surveys in Qualtrics.

R-Functional-Programming

The joy and power of functional programming in R

Python-Geospatial-Fundamentals-Legacy

D-Lab's 6 hour introduction to working with geospatial data in Python. Learn how to import, visualize, and analyze geospatial data using GeoPandas in Python.

R-Machine-Learning-Legacy

D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.

Python-Deep-Learning-Legacy

D-Lab's 6 hour introduction to deep learning in Python. Learn how to create and train neural networks using Tensorflow and Keras.

R-Census-Data-Legacy

Workshop on fetching and mapping census data with tidycensus

R-Data-Wrangling-Legacy

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

Python-Data-Wrangling-Legacy

D-Lab's 3 hour introduction to data wrangling in Python. Learn how to import and manipulate dataframes using pandas in Python.

topaz

Pipeline for particle picking in cryo-electron microscopy images using convolutional neural networks trained from positive and unlabeled examples. Also featuring micrograph and tomogram denoising with DNNs.

python-seminar

Python for Data Science (Seminar Course at UC Berkeley; AY 250)

scanpy

Single-cell analysis in Python. Scales to >1M cells.

kipoi

Kipoi's model zoo API

fa21-intro-to-tableau-workshop

fa21-intro-to-data-viz-workshop

fa21-intro-to-numpy-pandas-workshop

fa21-intro-to-python-workshop

CCBSkillsExample

Example Repository for CCB Skills Seminar

course-content

NMA Computational Neuroscience course

Bash-Git

D-Lab's 3 hour introduction to basic Bash commands and using version control with Git and Github.

python-for-everything

Materials for teaching the Python for Everything workshop at UC Berkeley's D-lab