LiuYiChen0704

LiuYiChen0704's Stars

• hsqmlzno1/MGAN

  Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification (AAAI'19)

  4411

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  178k51.2k

• ooibc88/forkbase

  Efficient Immutable, Auditable, Secure Storage for supporting effective collaboration, efficient query processing, and speeding up blockchain

  411

• h2pl/JavaTutorial

  【Java工程师面试复习指南】本仓库涵盖大部分Java程序员所需要掌握的核心知识，整合了互联网上的很多优质Java技术文章，力求打造为最完整最实用的Java开发者学习指南，如果对你有帮助，给个star告诉我吧，谢谢！

  Language:Java6.8k1.6k

• anhaidgroup/deepmatcher

  Python package for performing Entity and Text Matching using Deep Learning.

  Language:Python570131

• codingXiaxw/seckill

  the source code of `seckill` with development documentation :zap:

  Language:Java2.2k1.2k

• songxinjianqwe/WebServer

  手写简化版Web服务器

  Language:Java13147

• linw7/Skill-Tree

  🐼 准备秋招，欢迎来树上取果实

  Language:C3.6k1.1k

• vladsandulescu/phrases

  Extract opionion phrases from user reviews

  Language:Java6227

• eyasliu/wechat-app-music

  微信小程序：音乐播放器 技术栈: redux + es7 +labrador

  Language:JavaScript409179

• JeffLi1993/springboot-learning-example

  spring boot 实践学习案例，是 spring boot 初学者及核心技术巩固的最佳实践。

  Language:Java16.4k7.1k

• Kyubyong/wordvectors

  Pre-trained word vectors of 30+ languages

  Language:Python2.2k392

• SunnyMarkLiu/datacastle_travel_services_predict-rank5

  第二届智慧**杯精品旅行服务成单预测 Rank 5（AUC 0.97539）解决方案

  Language:Jupyter Notebook6737

• allenai/bi-att-flow

  Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

  Language:Python1.5k679

• sherjilozair/char-rnn-tensorflow

  Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

  Language:Python2.6k955

• baoboa/pyqt5

  PyQt5 from riverbank

  Language:C++1.1k583

• facebookresearch/DrQA

  Reading Wikipedia to Answer Open-Domain Questions

  Language:Python4.5k896

• Determined22/zh-NER-TF

  A very simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)

  Language:Python2.3k937

• cjhutto/vaderSentiment

  VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

  Language:Python4.5k1k

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++187k74.4k

• exacity/deeplearningbook-chinese

  Deep Learning Book Chinese Translation

  Language:TeX35.9k9.1k

• guillaumegenthial/sequence_tagging

  Named Entity Recognition (LSTM + CRF) - Tensorflow

  Language:Python1.9k702

• NELSONZHAO/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.

  Language:Jupyter Notebook3.5k2.1k

• lennylxx/ipv6-hosts

  Fork of https://code.google.com/archive/p/ipv6-hosts/, focusing on automation

  Language:Python4.5k1k

• jimmyyfeng/TD-LSTM

  Attention-based Aspect-term Sentiment Analysis implemented by tensorflow.

  Language:Python266139

• dennybritz/rnn-tutorial-rnnlm

  Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

  Language:Jupyter Notebook897467

• facebookresearch/fastText

  Library for fast text representation and classification.

  Language:HTML26k4.7k

• MorvanZhou/tutorials

  机器学习相关教程

  Language:Python12k5.7k

• yongyehuang/Tensorflow-Tutorial

  Some interesting TensorFlow tutorials for beginners.

  Language:Jupyter Notebook903371

• hankcs/CS224n

  CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

  Language:Python675273