tianyikenan Goto Github PK

java-interview

Java 面试题合集，欢迎提交 Issue 补充～

javaguide

A core knowledge that most Java programmers need to master

jcsprout

👨‍🎓 Java Core Sprout : basic, concurrent, algorithm

jiagu

Jiagu深度学习自然语言处理工具 中文分词 词性标注 命名实体识别 情感分析 新词发现 关键词 文本摘要

jieba

结巴中文分词

jieba-analysis

结巴分词(java版)

kashgari

Simple, Keras-powered multilingual NLP framework, allows you to build your models in 5 minutes for named entity recognition (NER), part-of-speech tagging (PoS) and text classification tasks. Includes BERT and word2vec embedding.

kcws

Deep Learning Chinese Word Segment

keras

Deep Learning for humans

keras-attention-mechanism

Attention mechanism Implementation for Keras.

keras-bert

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

keras-docs-zh

Chinese (zh-cn) translation of the Keras documentation.

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

keras-rl

Deep Reinforcement Learning for Keras.

keras-tutorials

Simple tutorials using Keras Framework

keras-tutorials-1

Keras-Tutorials

kg-beijing

北京知识图谱学习小组

kgqa_hlm

基于知识图谱的《红楼梦》人物关系可视化及问答系统

knowledgegraphcourse

东南大学《知识图谱》研究生课程

knowledgegraphslides

KnowledgeGraphSlides, a collection of knowledgegraph lectures, including the ccks series from 2013 to 2018, 中文知识图谱计算会议CCKS报告合集，涵盖从2013年至2018年，共48篇，从中可以看出从谷歌2012年推出知识图谱以来，**学术界及工业界这6年来知识图谱的主流**变迁。

learn_deep_learning_in_6_weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

leetcode-go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

leetcode-master

LeetCode 刷题攻略：配思维导图，各个类型的经典题目刷题顺序、经典算法模板，以及详细图解和视频题解。这里精选的题目都不是孤立的，而是由浅入深一脉相承的，相信只要按照刷题攻略上的顺序来学习，一定会有所收获！给个star支持一下吧！

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

leetcodetop

汇总各大互联网公司容易考察的高频leetcode题🔥

libsvm

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

linux-command

Linux命令大全搜索工具，内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux

linuxtools_rst

Linux工具快速教程