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arcashla

Fast and accurate in silico inference of HLA genotypes from RNA-seq

awesome-machine-learning

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

awesome-single-cell

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

coding-interview-university

A complete computer science study plan to become a software engineer.

cookiecutter-pypackage

Cookiecutter template for a Python package.

d3

A JavaScript visualization library for HTML and SVG.

d3heatmap

A D3.js-based heatmap htmlwidget for R

datasciencecoursera

coursera data science

datasharing

The Leek group guide to data sharing

dmlc-core

A common bricks library for building scalable and portable distributed machine learning.

dmlc.github.io

the homepage http://dmlc.ml

docsify

🃏 A magical documentation site generator.

edda

Source for course materials at http://ged.msu.edu/angus/

export_fig

A MATLAB toolbox for exporting publication quality figures

frontend-nanodegree-resume

glycanbuilder

Automatically exported from code.google.com/p/glycanbuilder

glycopatweb

Make GlycoPAT online

inferbracket

lc-ms-d3js

Tandem Mass Spectrometry Analysis and d3js - Mass Spectrum interactive graph and analysis over web

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

massspec-toolbox

Automatically exported from code.google.com/p/massspec-toolbox

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

mxnet-notebooks

ngsutils

Tools for next-generation sequencing analysis

nnvm

Intermediate Computational Graph Representation for Deep Learning Systems

openms

The codebase of the OpenMS project

p1cho

pgt

practice-python

Part of my daily plan for studying Python.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)