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rnaseq_tutorial

Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.

rnn-from-scratch

Implementing Recurrent Neural Network from Scratch

ruffus

CGAT-ruffus is a lightweight python module for running computational pipelines

rutil

Utilities for R

sampling-backprop

scikit-opt

genetic algorithm, Particle swarm optimization in Python

shouldsee

shouldsee.github.io

Blog

spa_intro

spectre

spectre-3dprint

sphinx-example

Example and cheat sheet for the Sphinx Python documentation generator.

spiper

A type-aware python-based pipeline utililiy with caching and singularity capability.

spiper_mock_flow

sql_graphviz

Generates graphviz commands to graphically display tables and show foreign key links.

stanford-cs-229-cn

A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译

stanford-mir

Instructional material for the Music Information Retrieval Workshop at CCRMA, Stanford University, 2014-17.

stat_notes

Stat notes arising from the progression of MPhil comp bio

stm32rgbmatrixdriver

Learning C and STM32 Programming by Example: RGB Matrix Driver.

synobio

Pipelines and utilities for NGS

synotil

Utilities wrappers for NGS data written in Python2

taichi_vnc_docker

A docker-compose setup to expose a gpu via web vnc

templates

Bootstrapping templates for Rmarkdown

texintro

introduction to latex - example template for reports.

the-way-to-go_zh_cn

《The Way to Go》中文译本，中文正式名《Go 入门指南》

thermopif7

travis_test

https://shouldsee.github.io/travis_test/a93194bed5709a448522d69b9a722c02d1e7e71f/index.html

tsne-pytorch

Pytorch implementation for t-SNE with cuda to accelerate

v2rayl

v2ray linux GUI客户端，支持订阅、vemss、ss等协议，自动更新订阅、检查版本更新

visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.