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Bao's starred repositories

WRF_DOCKER

WPS and WRF docker container, GNU MPI Build and Run

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pi-wrf

This repository hosts a Jupyter notebook based application of the Weather Research and Forecasting Model (WRF) on a Raspberry Pi (version 3 or higher).

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R-eol

Packages for accessing and analysis of time series data using R

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growth

Growth 3.0 with React Native - an app to help you to be Awesome Developer

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ledge

Ledge —— DevOps knowledge learning platform. DevOps、研发效能知识和工具平台，是我们基于在 ThoughtWorks 进行的一系列 DevOps 实践、敏捷实践、软件开发与测试、精益实践提炼出来的知识体系。它包含了各种最佳实践、操作手册、原则与模式、度量、工具，用于帮助您的企业在数字化时代更好地前进，还有 DevOps 转型。

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designiot

教你设计物联网系统。构建自己的Internet of Things 。

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github

GitHub 漫游指南- a Chinese ebook on how to build a good project on Github. Explore the users' behavior. Find some thing interest.

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growth-ebook

Growth Engineering: The Definitive Guide。全栈增长工程师指南

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growth-in-action

全栈增长工程师实战

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leetcode

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

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Cyjb.Compilers

提供编译相关功能

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Cyjb

提供 C# 基础的功能扩展

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CCKS_EE

CCKS蚂蚁金服事件主体抽取

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SIF

sentence embedding by Smooth Inverse Frequency weighting scheme

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CLUEDatasetSearch

搜索所有中文NLP数据集，附常用英文NLP数据集

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corpus

自然语言处理，知识图谱相关语料。按照Task细分，欢迎PR。

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biterm

Biterm Topic Model

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XNLI

Evaluating Cross-lingual Sentence Representations

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UER-py

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

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bert-tfserving

一个完整bert训练到部署的案例

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FastBERT

对ACL2020 FastBERT论文的复现，论文地址:https://arxiv.org/pdf/2004.02178.pdf

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ChineseNLP

Datasets, SOTA results of every fields of Chinese NLP

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NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

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oie-resources

A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.

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Name-Entity-Recognition

Lstm-crf,Lattice-CRF,bert-ner及近年ner相关论文follow

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Kashgari

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

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NeuroNER

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

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NER-Chinese

Comparison of Chinese Named Entity Recognition Models between NeuroNER and BertNER

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LSTM-CRF-pytorch-faster

A more than 1000X faster paralleled LSTM-CRF implementation modified from the slower version in the Pytorch official tutorial (URL:https://pytorch.org/tutorials/beginner/nlp/advanced_tutorial.html).

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BERT-NER-Pytorch

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

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