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ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

awesome-cancer-variant-databases

A community-maintained repository of cancer clinical knowledge bases and databases focused on cancer variants.

awesome-single-cell

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

bigscale2

Framework for clustering, phenotyping, pseudotiming and inferring gene regulatory networks from single cell data

cellranger

10x Genomics Single Cell 3' Gene Expression and VDJ Assembly

cheatsheets

RStudio Cheat Sheets

copykat

ctdna-script

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.

deepvariant

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

gwa_tutorial

A comprehensive tutorial about GWAS and PRS

lihang-code

《统计学习方法》的代码实现

mtbook

《机器翻译：统计建模与深度学习方法》肖桐 朱靖波 著 - Machine Translation: Statistical Modeling and Deep Learning Methods

note

学习笔记整理📚

python-cheatsheet

Comprehensive Python Cheatsheet

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

rnaseq-workflow

A repository for setting up a RNAseq workflow

scgco

Single-cell graph cuts optimization

scrna-seq_notes

A list of scRNA-seq analysis tools

sigma

R package for SIGMA, a clusterability measure for scRNA-seq data

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法

stip

STIP: State Transition Inference Prediction

tnbc_scrnaseq