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momo19950627's Projects

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

amc

Code for KDD 2014 paper "Mining Topics in Documents: Standing on the Shoulders of Big Data"

aspect-level-sentiment

Code and dataset for ACL2018 paper "Exploiting Document Knowledge for Aspect-level Sentiment Classification"

c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

coupled-multi-layer-attentions

Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms

crf

Simple implementation of Conditional Random Fields (CRF) in Python. A faster, more powerful, Cython implementation is available in the vocrf project https://github.com/timvieira/vocrf

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

fasttext

Library for fast text representation and classification.

hast

Aspect Term Extraction with History Attention and Selective Transformation (IJCAI 2018)

hscrf-pytorch

ACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (http://aclweb.org/anthology/P18-2038)

javaguide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

lidarview

LidarView performs real-time visualization and easy processing of live captured 3D LiDAR data from Lidar sensors. Runs on Windows, Linux and MacOS. Contrasting to VeloView (that Kitware develops with Velodyne), it provides experimental algorithms and features, but you may expect LidarView to crash in some situations.

lm-lstm-crf

Empower Sequence Labeling with Task-Aware Language Model

project-based-tutorials-in-c

A curated list of project-based tutorials in C

review_summarization-aspect_based_opinion_mining

Summarize opinions of users about a product from a set of reviews. Extract the most common product features mentioned, most common opinion words used for a feature and the corresponding positive and negitive opinions about related to the feature and opinions. This way it becomes extremely easy to identify the most prominent positive and negitive features and opinions about a product.

rnn

RNN示例集合

smart-sso

springboot SSO 单点登录，OAuth2实现，支持App登录，支持分布式

ssm-demo

文本标注系统

tensorflowexamples

完成了《实战Google深度学习框架》里的内容

textmark

文本标注系统

word2vec-googlenews-vectors

word2vec Google News model

yelp-data-challenge-2013

Yelp Data Challenge 2013

zhihu

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

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