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赵小亮's Projects

hssc icon hssc

Code for "A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification" (IJCAI 2018)

implicit-lvm icon implicit-lvm

This code repository presents the pytorch implementation of the paper “Implicit Deep Latent Variable Models for Text Generation”(EMNLP 2019).

interesting-python icon interesting-python

有趣的Python爬虫和Python数据分析小项目(Some interesting Python crawlers and data analysis projects)

interview_internal_reference icon interview_internal_reference

2019年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。

interview_notes-chinese icon 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

jiagu icon 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

keras-bert icon keras-bert

A simple technique to integrate BERT from tf hub to keras

keras-gat icon keras-gat

Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)

keras-self-attention icon keras-self-attention

Attention mechanism for processing sequential data that considers the context for each timestamp.

l2t-ww icon l2t-ww

Learning What and Where to Transfer (ICML 2019)

lark icon lark

LAnguage Representations Kit

lazynlp icon lazynlp

Library to scrape and clean web pages to create massive datasets.

learnpaddle icon learnpaddle

PaddlePaddle V2版本系列教程,CSDN博客专栏:https://blog.csdn.net/qq_33200967/column/info/28499

leetcode icon leetcode

:pencil2: LeetCode solutions in C++ 11 and Python3

leetcode-2 icon leetcode-2

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

leetcode-3 icon leetcode-3

Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.

leetcodeanimation icon 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)

lightnlp icon lightnlp

基于Pytorch和torchtext的自然语言处理深度学习框架,包含序列标注、文本分类、句子关系、文本生成、结构分析、五大功能模块,已实现了命名实体识别、中文分词、词性标注、语义角色标注、情感分析、关系抽取、语言模型、文本相似度、文本蕴含、依存句法分析、词向量训练、聊天机器人、机器翻译、文本摘要等功能。框架功能丰富,开箱可用,极易上手!基本都是学习他人实现然后自己修改融合到框架中,没有细致调参,且有不少Bug~

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