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awesome-reinforcement-learning-zh

中文整理的强化学习资料（Reinforcement Learning）

awesome_chinese_medical_nlp

中文医学NLP公开资源整理：术语集/语料库/词向量/预训练模型/知识图谱/命名实体识别/QA/信息抽取/模型/论文/etc

awesome_nlp_tools

整理常用的自然语言处理工具(包括Python接口)，如Stanford NLP、NLTK、Spacy、NLPIR、Pyltp、HanLP、Jieba、xmnlp、jiagu、mynlp

backend

后端技术，java、python技术栈

bbk-server

:smile: Topic detection and tracking system.

bert

TensorFlow code and pre-trained models for BERT

bert-as-service

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

bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

bert-of-theseus-tf

tensorflow version of bert-of-theseus

bert-tfserving

一个完整bert训练到部署的案例

bert-train2deploy

BERT模型从训练到部署

bert-use-demo

the demo for bert

bert_chinese_classification

本实验，是用BERT进行中文情感分类，记录了详细操作及完整程序

bert_mrc

NER任务SOTA模型BERT_MRC

bert_ner

基于BERT的NER模型，集成了LSTM，CRF网络结构，FGM，EMA等提分trick，还有单独的MRC框架

bert_seq2seq

pytorch实现 Bert 做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持t5模型，支持GPT2进行文章续写。

beta-vae

Pytorch implementation of β-VAE

bigdata-notes

大数据入门指南 :star:

bilm-tf

Tensorflow implementation of contextualized word representations from bi-directional language models

book

MyBatis 从入门到精通

bpemb

Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)

bringing-old-photos-back-to-life

Bringing Old Photo Back to Life (CVPR 2020 oral)

build-kg-from-scratch

byzer-lang

Byzer (former MLSQL): A low-code open-source programming language for data pipeline, analytics and AI.

callpython

java调用python

casrel

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

causalbank

CausalBank dataset from our IJCAI 2020 paper "Guided Generation of Cause and Effect" https://www.ijcai.org/Proceedings/2020/502

ccks2019evententityextraction_rank5

SEBERTNets：一种面向金融领域的事件主体抽取方法

ccks_baidu_entity_link

ccks baidu entity link 实体链接 第一名

ccl2018summary

self summary after attending CCL2018 (全国计算语言学学术会议), CCL2018参会总结,包括会议论文下载脚本,会议前言技术报告下载,以及个人的一点总结.