zachary-yl Goto Github PK

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【算法基础】由插入排序来看如何分析和设计算法

2019-autumn-recruitment-experience

2019届秋招面经集合

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

bert

TensorFlow code and pre-trained models for BERT

bert-qe

Using BERT model to fine tune for quality estimation

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、Java、Python、C++

deep-learning

elmoformanylangs

Pre-trained ELMo Representations for Many Languages

google

google

google2

不翻墙访问谷歌的方法 作为程序员，是经常需要用到谷歌的，每次用的话如果都得打开VPN或者翻墙软件不免觉得麻烦，在这里介绍一种通过修改hosts文件来访问谷歌的方法，可以访问Gmail，YouTube等众多谷歌旗下产品。 'windows'可以通过开始——运行，输入C:\WINDOWS\system32\drivers\etc\hosts 'mac os X' 可以通过快捷键组合 Shift+Command+G 三个组合按键查找文件，并输入 Hosts 文件的所在路径：/etc/hosts 打开hosts文件，在文件下方粘贴由github下载下来的txt文件的内容，保存即可使用 请使用国际版google. 防止google本地化重定向: 访问一下https://www.google.com/ncr 请使用https替代http访问. 这里推荐几个反代google的网站，可以直接搜索做备用哦~ http://173.194.14.53/ http://209.116.186.231/ http://210.242.125.83/ https://g.ttlsa.com/ https://www.glgoo.com/ https://www.glgoo.com/ https://scholar.glgoo.com/ https://xie.lu/ https://wen.lu/ https://g.conn.cc/ http://google.0zv.net/

knowledge

My Blog

lawcrimemining

Law Crime Mining Based on Corpus build and content analysis by NLP methods. 基于领域语料库构建与NLP方法的裁判文书与犯罪案例文本挖掘项目

mosesdecoder

Moses, the machine translation system

muse

A library for Multilingual Unsupervised or Supervised word Embeddings

neuqe

Neural quality estimation toolkit for grammatical error correction and other language generation applications.

nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

openkiwi

Open-Source Machine Translation Quality Estimation in PyTorch

qebrain

machine translation and quality estimation

quality-estimation0

机器翻译子任务-翻译质量评价-使用 BERT 特征训练 QE 模型

quality-estimation1

机器翻译子任务-翻译质量评价-复现 WMT2018 阿里论文结果

quality-estimation2

机器翻译子任务-翻译质量评价-在BERT模型后面加上Bi-LSTM进行fine-tuning

raccoon_dataset

The dataset is used to train my own raccoon detector and I blogged about it on Medium

rain

Rain

sumqe

SUM-QE, a BERT-based Summary Quality Estimation Model

ted-multilingual-parallel-corpus

TED parallel Corpora is growing collection of Bilingual parallel corpora, Multilingual parallel corpora and Monolingual corpora extracted from TED talks www.ted.com for 109 world languages.

test

A test

test-1

A test

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

upc-zyl.github.io

我的博客