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.

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tidytuesday

Official repo for the #tidytuesday project

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pokemon-showdown

Pokémon battle simulator.

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DS-Career-Resources

Compilation of resources for aspiring data scientists

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data-science-interview-questions-and-answers

Data science interview questions with answers. Not ideally (yet)

cellpose

a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

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MetBrewer

Color palette package in R inspired by works at the Metropolitan Museum of Art in New York

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data_to_viz

Leading to the dataviz you need

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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

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MoMAColors

Color Schemes based around artwork and the Museum of Modern Art.

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BioImageAnalysisNotebooks

Python Jupyter notebooks for BioImageAnalysis, GPU-accelerated image processing, bio-image data science and more

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Trainable_Segmentation

Fiji library to perform image segmentation based on the Weka learning schemes

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python-bioimage-analysis-tutorial

A self-explanatory, hands-on intro to bioimage analysis in python. Slightly outdated but still much liked by learners.

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SUPPORT

Accurate denoising of voltage imaging data through statistically unbiased prediction, Nature Methods.

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bioimagebook.github.io

An introduction to bioimage analysis - http://bioimagebook.github.io

ChrisLUTs

A collection of LUTs for ImageJ/Fiji

OrientationJ

ImageJ's plugin for directional analysis in images: color-coded analysis, distribution of orientation, vector field, keypoint detection

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Visualization_toolset

Imagej toolset to ease hyperstacks visualization and handling

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Process_Images

ImageJ macros: batch process microscopy images into quantification and visualization stacks

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plot.matrix

Visualizes a matrix object plainly as heatmap. It provides a single S3 function plot for matrices.

python-prep

Our python prep content

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KTZ-LUTs

Handmade ImageJ / Fiji LUTs for microscopy, scientific good visualization and art.

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Superplots_R_script

R script for generating SuperPlots.

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