yuemolin

yuemolin's Stars

• ModelOriented/modelStudio

  📍 Interactive Studio for Explanatory Model Analysis

  Language:R32732

• datawhalechina/joyful-pandas

  pandas中文教程

  Language:Jupyter Notebook4.7k1.9k

• DrStephenLynch/Tekbac

  Google Colab Notebooks

  Language:Jupyter Notebook55

• agstn/dataxray

  An interactive table interface for data summaries

  Language:HTML858

• gadenbuie/xaringanthemer

  😎 Give your xaringan slides some style

  Language:R44526

• gadenbuie/xaringanExtra

  :ferris_wheel: A playground of enhancements and extensions for xaringan slides.

  Language:JavaScript44936

• griffithlab/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.

  Language:R1.3k619

• jayelm/hoff-bayesian-statistics

  R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"

  Language:HTML12492

• allisonhorst/stats-illustrations

  R & stats illustrations by @allison_horst

  1.8k199

• seankross/the-unix-workbench

  :house_with_garden: A Book for Anyone to Get Started with Unix

  Language:CSS1.3k2.3k

• NLP-LOVE/ML-NLP

  此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

  Language:Jupyter Notebook16.1k4.6k

• coder/code-server

  VS Code in the browser

  Language:TypeScript68.7k5.6k

• conwnet/github1s

  One second to read GitHub code with VS Code.

  Language:TypeScript22.9k875

• jarad/one_parameter_conjugate

  Shiny app for one parameter conjugate Bayesian analyses.

  Language:R1

• bayesball/ShinyBayes

  Collection of Shiny apps for illustrating Bayesian statistical inference

  Language:R41

• gzc/CLRS

  :notebook:Solutions to Introduction to Algorithms

  Language:C++9.5k2.8k

• geekywrites/datascience

  This repository is a compilation of free resources for learning Data Science.

  5.1k523

• KevinMenden/scaden

  Deep Learning based cell composition analysis with Scaden.

  Language:Python7426

• seandavi/awesome-single-cell

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

  3.2k989

• hbctraining/scRNA-seq

  Language:SCSS541224

• labuladong/fucking-algorithm

  刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

  Language:Markdown126k23.2k

• jmzeng1314/NGS-pipeline

  By study this, it won't be costly or time-consuming to customize a NGS data analysis pipeline

  Language:Shell318285

• harryprince/awesome-rmarkdown

  An awesome rmarkdown related package collection

  424

• MorvanZhou/PyTorch-Tutorial

  Build your neural network easy and fast, 莫烦Python中文教学

  Language:Jupyter Notebook8.2k3.1k

• bvieth/powsimR

  Power analysis is essential to optimize the design of RNA-seq experiments and to assess and compare the power to detect differentially expressed genes. PowsimR is a flexible tool to simulate and evaluate differential expression from bulk and especially single-cell RNA-seq data making it suitable for a priori and posterior power analyses.

  Language:HTML10523

• zergtant/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

  Language:Jupyter Notebook20.4k5.4k

• aimacode/aima-python

  Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

  Language:Jupyter Notebook8.1k3.8k

• Vay-keen/Machine-learning-learning-notes

  周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

  7.3k1.9k

• OUCMachineLearning/OUCML

  Language:Python4.6k1.3k

• ShusenTang/Dive-into-DL-PyTorch

  本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

  Language:Jupyter Notebook18.4k5.4k