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marcjwilliams1 / repository
Jupyter notebook to produce figure from "Reply to ‘Revisiting signatures of neutral tumor evolution in the light of complexity of cancer genomic data’ "
Jupyter notebook to produce the figures presented in reply to Balaparya and De's critique of Williams, Werner et al. Nature Genetics 2016. Related publications can be found here:
The notebook should render in github after clicking on it. In this notebook simulated datasets subjected to differing degrees of overdispersion are compared and the overdispersion in two data sets is estimated.
Alternatively it will show up here, if the rendering in github doesn't work.
Selected from shared topics, language and repository description—not editorial ratings.
dive-into-machine-learning /
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
jupyter /
Ready-to-run Docker images containing Jupyter applications
NirDiamant /
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
jupyterlab /
An open source extension that connects AI agents to computational notebooks in JupyterLab.
barbagroup /
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/