timberswift Goto Github PK

androiddictionary

My first Android application

app2

uwp_app2

bert-pytorch

Google AI 2018 BERT pytorch implementation

bert4keras

keras implement of transformers for humans

coding-interview-university

A complete computer science study plan to become a software engineer.

constructingneeg_ijcai_2018

The data and code for our IJCAI-ECAI 2018 paper: Constructing Narrative Event Evolutionary Graph for Script Event Prediction

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepctr

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

deepmiml

A Keras implementation of the DeepMIML Network for multi-instance multi-label learning

dive-into-dl-pytorch

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

exreader

A English passage reader which target in extracting different classes of Vocabulary.

hedwig

PyTorch deep learning models for document classification

hitsz-daily-report

基于Github Action的定时HITsz疫情上报脚本，开箱即用

interview_notes-chinese

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

it-ebooks-cn

计算机电子书pdf整理

learn-algorithms

算法学习笔记

liblife

A mobile application aims to providing a NEU library service including Seat reserve, Book finder, and more Accessibility functions like PaperDeliver etc.

listed-company-news-crawl-and-text-analysis

从新浪财经、每经网、金融界、**证券网、证券时报网上，爬取上市公司（个股）的历史新闻文本数据进行文本分析、提取特征集，然后利用SVM、随机森林等分类器进行训练，最后对实施抓取的新闻数据进行分类预测

mediaplayer

高仿网易云音乐

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。

multigraph_multilabel_learning

Multi-Graph Multi-Label Learning

naivemondrianplayer

一款简单的蒙德里安风格播放器

neuoj

NEU Online Judge

neutv

使用校园网便捷的观看网络电视 Android 移动版

neuweb

the first foolish web project by me

nlp_base

自然语言基础模型

nlp_course

YSDA course in Natural Language Processing

photoscript

JAVAFX 制作图片标注软件

pulltest

pydata-notebook

利用Python进行数据分析 第二版 (2017) 中文翻译笔记