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100 Days of ML Coding
Workshop content for http://dib-training.readthedocs.org/en/pub/2016-01-13-adv-beg-shell.html
3D Deep Learning works
3D ResNets for Action Recognition (CVPR 2018)
basic walk-throughs for alignment and variant calling from NGS sequencing data
Advanced Normalization Tools (ANTs)
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
A community-maintained repository of cancer clinical knowledge bases and databases focused on cancer variants.
an introduction to awk
Your favorite AnchorCMS theme, now for Jekyll!
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
A community menagarie of automated variant validations using bcbio and the Common Workflow Language
Validation runs using bcbio: germline, somatic, structural variant calling and RNA-seq analyses
Tools for bioinformatics
This repo includes Glioma Segmentation with Mask R-CNN and U-Net.
A suite of tools for medical image processing focused on brain analysis
GATK RNA-Seq Variant Calling in Nextflow
Repository for code related to the CDGnet tool for prioritizing targeted cancer therapies
Download binary executables and sample data here:
A fork of chimerascan that supports variable read lengths
ChIPSeQ Analysis Protocol
A data processing platform for ChIP-seq, RNA-seq, MNase-seq, DNase-seq, ATAC-seq and GRO-seq datasets. Please ignore information on cipher.readthedocs.io, it is currently out of date. Follow information in README.
A simplified pipeline for ctDNA sequencing data analysis
This is mostly for me to keep my ErrorDocuments straight. I have a few galaxies that benefit from having 503 catch pages!
DNA repair classification signatures: Using XGBoost models to classify DNA repair defects from liquid biopsy sequencing.
Generating randomized brain MRI images from random noise using a GAN. Additionally translating from one image domain to another with a conditional GAN (pix2pix): Segmenting brain anatomy - Generating brain MRI from the segmentation - Augmenting the translation of image modalities in a limited dataset to perform ischemic stroke segmentation.
Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans
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.