wangdomg Goto Github PK

aaai-19_slide_poster

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

amanda

A Neural Reading Comprehension-based Question Answering System

apollo

An open autonomous driving platform

apollo-11

Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

awesome-chinese-nlp

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

awesome-few-shot-learning

A curated list of resources about few-shot and one-shot learning

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

bixin

Chinese Sentiment Analysis 中文文本情感分析

cail

Chinese AI & Law Challenge

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

daily-interview

data-pipeline-for-sina-weibo-interaction-prediction

Data pipeline for Sina Weibo Interaction-prediction

deep-learning-based-recommendation-system

This repository contains articles, papers and repositories on deep learning based recommendation system

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.

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，近30万字。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

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

gbdt

参考Greedy Function Approximaion: A Gradient Boosting Machine实现的多分类GBDT，支持连续型属性。

gcn-over-pruned-trees

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)

ggnn

Gated Graph Sequence Neural Networks

hacks

A collection of code, snippets and stuff thats not quite there yet....

hyponymyextraction

HyponymyExtraction and Graph based on KB Schema, Baike-kb and online text extract, 基于知识概念体系，百科知识库，以及在线搜索结构化方式的词语上下位抽取与可视化展示

iieirsys

irsearch

kaggle-2014-criteo

kaggle_criteo_ctr_challenge-

This is a kaggle challenge project called Display Advertising Challenge by CriteoLabs at 2014.这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。

lawcrimemining

Law Crime Mining Based on Corpus build and content analysis by NLP methods. 基于领域语料库构建与NLP方法的裁判文书与犯罪案例文本挖掘项目

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

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）