dianalow Goto Github PK

advanced-shiny

Shiny tips & tricks for improving your apps and solving common problems

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

ba2

bioinformatics algorithms 2

binner

An R package for reading ABI fsa capillary files, and conducting various fragment analyses. At this point AFLPs, but microsatellites (SSRs) are also planned.

caffo-coursera

A repository of my Coursera latex code and notes

chromium

Chromium.org open source browser project, git cloned from http://git.chromium.org/chromium/src.git

confess

CONFESS: Cell OrderiNg by FluorEScence Signal

coursera_angularjs

coursera_machine_learning

Coursework for Andrew Ng's Machine Learning

coursera_rubyfullstack_course2

coursera_rubyfullstack_course3

coursera_rubyfullstack_course4

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

datacamp-community-tutorials

Tutorials for DataCamp (www.datacamp.com)

ddigger

Data-Driven Grouping for Gene Expression in R

deeplearning

My code for Google's Deep Learning course

deltagseg

This is a read-only mirror of the Bioconductor SVN repository. Package Homepage: http://bioconductor.org/packages/devel/bioc/html/deltaGseg.html Bug Reports: https://support.bioconductor.org/p/new/post/?tag_val=deltaGseg.

dianalow.github.io

Playing around with Jekyll for http://dianalow.github.io

dlaicourse

Notebooks for learning deep learning

ee123-labs

Digital Signal Processing | Spring 2016 with Prof. Miki Lustig

experimenthub

R project

footballstats

Exploring football statistics data and APIs

fullstack-course1-module1

fullstack-course1-module2

fullstack-course2-module1-fancy_cars

gtf_files

GTF files formatted for various genomic packages and pipelines

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

knitr

A general-purpose tool for dynamic report generation in R

lego_evolution

Datacamp exercises of interest