Mary Ann Collins's starred repositories
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
tidytuesday
Official repo for the #tidytuesday project
pokemon-showdown
Pokémon battle simulator.
DS-Career-Resources
Compilation of resources for aspiring data scientists
data-science-interview-questions-and-answers
Data science interview questions with answers. Not ideally (yet)
data_to_viz
Leading to the dataviz you need
Bio-image_Analysis_with_Python
Lecture materials "Bio-image analysis, biostatistics, programming and machine learning for computational biology" at the Center of Molecular and Cellular Bioengineering (CMCB) / University of Technology, TU Dresden
MoMAColors
Color Schemes based around artwork and the Museum of Modern Art.
BioImageAnalysisNotebooks
Python Jupyter notebooks for BioImageAnalysis, GPU-accelerated image processing, bio-image data science and more
Trainable_Segmentation
Fiji library to perform image segmentation based on the Weka learning schemes
python-bioimage-analysis-tutorial
A self-explanatory, hands-on intro to bioimage analysis in python. Slightly outdated but still much liked by learners.
bioimagebook.github.io
An introduction to bioimage analysis - http://bioimagebook.github.io
OrientationJ
ImageJ's plugin for directional analysis in images: color-coded analysis, distribution of orientation, vector field, keypoint detection
Visualization_toolset
Imagej toolset to ease hyperstacks visualization and handling
plot.matrix
Visualizes a matrix object plainly as heatmap. It provides a single S3 function plot for matrices.
Process_Images
ImageJ macros: batch process microscopy images into quantification and visualization stacks
python-prep
Our python prep content
Superplots_R_script
R script for generating SuperPlots.