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5years

cs_books

Books in Computer Science

deeplearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

deeplearning-biology

A list of deep learning implementations in biology

esl-cn

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

gnnpapers

Must-read papers on graph neural networks (GNN)

intro-to-dl

Introduction to deep learning

mouse-xx-xy-c1

my_wgcna

python-book

Some of the source code and files for the book Python Hacking for Math Junkies

python-for-biosciences

Python for Biosciences

python-introduction

Introduction to Python 3

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

r-for-beginners

An introduction to base R for beginners suitable for self-learning.

rfast2

A collection of Rfast2 functions for data analysis. Note 1: The vast majority of the functions accept matrices only, not data.frames. Note 2: Do not have matrices or vectors with have missing data (i.e NAs). We do no check about them and C++ internally transforms them into zeros (0), so you may get wrong results. Note 3: In general, make sure you give the correct input, in order to get the correct output. We do no checks and this is one of the many reasons we are fast.

scrna_10x

scrna_smart_seq2

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

swne

Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

wrangling-with-r

Slides, example code and data for the "Data analysis and wrangling with R" course