berserker006 Goto Github PK

add_corporate_information_daily_of_china

**大陆 31 个省份最近几日新增工商企业注册信息以及其他部分企业数据

awesome-python-cn

Python资源大全中文版，包括：Web框架、网络爬虫、模板引擎、数据库、数据可视化、图片处理等，由「开源前哨」和「Python开发者」微信公号团队维护更新。

bsk006

code-switching-papers

A curated list of research papers and resources on code-switching

cs-self-learning

计算机自学指南

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

deeplearning-2

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

deeplearning4j

Suite of tools for deploying and training deep learning models using the JVM.

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeplearning_tutorials

The deeplearning algorithms implemented by tensorflow

douyin_tiktok_download_api

🚀「Douyin_TikTok_Download_API」是一个开箱即用的高性能异步抖音、快手、TikTok、Bilibili数据爬取工具，支持API调用，在线批量解析及下载。

emfd

The Extended Moral Foundations Dictionary (E-MFD)

entity-relation-extraction

Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019

familia

A Toolkit for Industrial Topic Modeling

gensim

Topic Modelling for Humans

gensim-data

Data repository for pretrained NLP models and NLP corpora.

jieba

结巴中文分词

koushare-dl

KouShare-dl 是一个用于从“蔻享学术”视频网站下载视频和课件、录制直播的命令行工具。

lihang-code

《统计学习方法》的代码实现

nlp-papers-with-arxiv

Statistics and accepted paper list of NLP conferences with arXiv link

nlpir

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

s2orc

S2ORC: The Semantic Scholar Open Research Corpus: https://www.aclweb.org/anthology/2020.acl-main.447/

saffron

Saffron 4 - Text Analysis and Insight Tool

sentimentpolarityanalysis

情感极性分析repository1：基于情感词典、k-NN、Bayes、最大熵、SVM的情感极性分析。

sinaspider

新浪微博爬虫（Scrapy、Redis）

statistical-learning-method

《统计学习方法》笔记-基于Python算法实现

text_analytics

Basic text analytics and natural language processing in Python

tiktokdownload

抖音去水印批量下载用户主页作品、喜欢、收藏、图文、音频

trafilatura

Python & command-line tool to gather text on the Web: web crawling/scraping, extraction of text, metadata, comments