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100-days-of-ml-code

100 Days of ML Coding

51bitquant

51bitquant Python数字货币量化交易视频 CCXT框架 爬取交易所数据 比特币量化交易 交易机器人51bitquant tradingbot cryptocurrency quantitative trading btc trading

acl-pub

Place to collect updated documents needed for ACL publications.

act-tensorflow

Adaptive Computation Time algorithm in Tensorflow

algorithm_course

allennlp

An open-source NLP research library, built on PyTorch.

anago

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

automatic-corpus-generation

This repository is for the paper "A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Check"

baidu_ueditor_zigen_jiaodui

百度ueditor编辑器 中文校对软件，错别字纠错API集成演示项目

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bert-e2e-absa

Exploiting BERT for End-to-End Aspect-based Sentiment Analysis (W-NUT@EMNLP'19)

bert-keras

Keras implementation of BERT(Bidirectional Encoder Representations from Transformers)

bert_language_understanding

Pre-training of Deep Bidirectional Transformers for Language Understanding

bitcv

爬取比特币交易平台数据，币安、Okex、Otcbtc

c-rnn-gan

Implementation of C-RNN-GAN.

cail2019

cail_scm2019

capsule-networks

A Tensorflow implementation of Capsule Networks

castor

PyTorch deep learning models by the Data Systems Group at the University of Waterloo

cdcs

Chinese Data Competitions' Solutions

chenxia.github

对爱心树进行修改的表白网页!

chenxia.github.io

chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

chinesediachroniccorpus

ChineseDiachronicCorpus，中文历时语料库，横跨六十余年，包括腾讯历时新闻2000-2016，人民日报历时语料1946-2003，参考消息历时语料1957-2002。基于历时流通语料库，可用于历时语言变化计算、语言监测、社会文化变迁研究提供基础性的语料支持。

chip-task2

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

coextractionabsa

the collection of E2E-ABSA models

commonsense-rc

Code for Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension

community-question-answer-master

SemEval2016-Task3-CQA