superjw's Stars
amanchadha/coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
eplt/Deep-Learning-Coursera-Complete
Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses
nicolaroberts/hdp
R pkg for Hierarchical Dirichlet Process
sf5p/python3_edabit
edabit python3 test problems
aws-samples/aws-modern-application-workshop
A tutorial for developers that want to learn about how to build modern applications on top of AWS. You will build a sample website that leverages infrastructure as code, containers, serverless code functions, CI/CD, and more.
cancerit/ppcg-qc-from-sanger
The tools is used to extract PPCG defined QC metrics from Sanger variant calling pipeline results.
PacktPublishing/D3.js-Quick-Start-Guide
D3.js Quick Start Guide, published by Packt
StefanSchroeder/Golang-Regex-Tutorial
Golang - Regular Expression Tutorial
kelseyhightower/kubernetes-the-hard-way
Bootstrap Kubernetes the hard way. No scripts.
cancerit/dockstore-cgpwgs
Dockstore implementation of CGP core WGS analysis
VertebrateResequencing/wr
High performance Workflow Runner
AlexandrovLab/SigProfilerExtractor
SigProfilerExtractor allows de novo extraction of mutational signatures from data generated in a matrix format. The tool identifies the number of operative mutational signatures, their activities in each sample, and the probability for each signature to cause a specific mutation type in a cancer sample. The tool makes use of SigProfilerMatrixGenerator and SigProfilerPlotting.
AlexandrovLab/SigProfilerMatrixGenerator
SigProfilerMatrixGenerator creates mutational matrices for all types of somatic mutations. It allows downsizing the generated mutations only to parts for the genome (e.g., exome or a custom BED file). The tool seamlessly integrates with other SigProfiler tools.
AlexandrovLab/SigProfilerPlotting
SigProfilerPlotting provides a standard tool for displaying all types of mutational signatures as well as all types of mutational patterns in cancer genomes. The tool seamlessly integrates with other SigProfiler tools.
EbookFoundation/free-programming-books
:books: Freely available programming books