dakota-hawkins Goto Github PK
Name: Dakota Hawkins
Type: User
Bio: Ph.D. in Bioinformatics from Boston University. Interested in creating tools for robust analysis of biological data.
Twitter: dakotahawkins20
Location: Boston, Massachusetts
Name: Dakota Hawkins
Type: User
Bio: Ph.D. in Bioinformatics from Boston University. Interested in creating tools for robust analysis of biological data.
Twitter: dakotahawkins20
Location: Boston, Massachusetts
Work for CS640 at Boston University
List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.
Repo for CS585 at Boston University
My CV
Repository for personal Github Pages
A few examples in Java from my data structures class at Westminster College.
Exercises and Code from Essential C++ Textbook
A responsive, flexible, Jekyll theme based on The Development's first design.
For CompBio
Repo for becoming familiar with graphical neural networkshttps://gnn.seas.upenn.edu/lectures/lecture-1/
Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.
Normalize intensity values in 3D image stacks
📝 A nicely formatted LaTeX preprint template
Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
Python code for generating Leung-Malik (LM) filter bank that is typically used in texture analysis and classification.
Implementation of the Louvain algorithm for community detection with various methods for use with igraph in python.
Code from my Mathematical Biology class at the University of Utah. Files are numerical solutions to applied PDE models in biology.
Code used during the 2015 Mathematical Competition in Modeling. The code models the spread of ebola through a regional network that accounts for different local and regional vaccination strategies.
Genetic Aglorithm framework in Python.
Napari plugin to read Olympus Image Formats images into napari
Python implementation of Neighborhood Component Feature Selection (NCFS).
Louvain Community Detection
New boot goofin with PyTorch
Tutorial for snakemake/computation pipelines for BF528.
Worklflow managers are good mkay
Repo for Software Carpentry Workshop at PNNL
Code for detecting SOTN in field recordings.
Repository to learn Julia by implementing algorithms described in "The Elements of Statistical Learning: Data Mining, Inference, and Prediction" Second Edition by Trevor Hastie, Robert Tibshirani, and Jerome Friedman.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.