lengyueyang Goto Github PK

hello-emacs

emacs新手入门资料汇集地

home

My home directory: Nix config, dotfiles, scripts, etc.

hpo_similarity

Analysis of similarity of HPO terms in groups of individuals

hugo-academic

The website builder for Hugo. Build and deploy a beautiful website in minutes :rocket:

hugo-theme-jane

A readable & concise theme for Hugo

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

keras-cn

Chinese keras documents with more examples, explanations and tips.

kg-beijing

北京知识图谱学习小组

knowledge-graphp-learning-group

本目录主要包含知识图谱小组每周学习例会的资源，包含paper，slides，report等。我们可以通过查看文件更新来提前做好充分准备并了解最新例会学习内容。

knowledge_graph_demo

This is a demo for a simple knowledge graph.

knowledgegraphcourse

东南大学《知识图谱》研究生课程

lantern

:zap: Open Internet for everyone. Lantern is a free desktop application that delivers fast, reliable and secure access to the open Internet for users in censored regions. It uses a variety of techniques to stay unblocked, including P2P and domain fronting. Lantern relies on users in uncensored regions acting as access points to the open Internet.

learnhaskell

Learn Haskell

learning-sicp

SICP practice

learning-sicp-1

MIT视频公开课《计算机程序的构造和解释》中文化项目及课程学习资料搜集。

learnxinyminutes-docs

Code documentation written as code! How novel and totally my idea!

leetcode

:pencil: Python / C++ 11 Solutions of LeetCode Questions

lengyue.emacs.d

lengyueyang.github.io

lengyueyang blog

lightsabers

some beautiful code from which I learned a lot

lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

loris

LORIS is a web-accessible database solution for longitudinal multi-site studies.

lorisdb.github.io

lubrigante

machine-learning

machine-learning-session

machinelearning

Machine learning resources

machinelearning-1

My blogs and code for machine learning. http://cnblogs.com/pinard

machinelearninginaction

个人阅读笔记