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cancangit's Projects

awesome_chinese_medical_nlp icon 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

bgp-serialhijackers icon bgp-serialhijackers

Additional material for paper Profiling BGP Serial Hijackers: Capturing Persistent Misbehavior in the Global Routing Table, IMC ’19

bilstm_cnn_crf_cws icon bilstm_cnn_crf_cws

BiLstm+CNN+CRF 法律文档(合同类案件)领域分词(100篇标注样本)

ccks_ee icon ccks_ee

CCKS举办的针对电子病例的信息抽取比赛,主要是进行医疗实体及事件抽取,本项目包括展示比赛的不断改进与多种方法的尝试,最终取得:valid第6名;test第9名。

chinese-bert-wwm icon chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)

chineseblue icon chineseblue

Chinese Biomedical Language Understanding Evaluation benchmark (ChineseBLUE)

colossalai icon colossalai

Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training

cs-notes icon 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

deepie icon deepie

DeepIE: Deep Learning for Information Extraction

deepke icon deepke

基于深度学习的开源中文关系抽取框架

ernie icon ernie

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

garbage icon garbage

小程序云开发的垃圾分类小程序

garbage_classify icon garbage_classify

最严垃圾分类政策自7月1日颁布,如何进行垃圾分类已经成为居民生活的灵魂拷问。但是,没关系!AI在垃圾分类的应用可以成为居民的得力助手。本次垃圾分类挑战杯,目的在于构建基于深度学习技术的图像分类模型,实现垃圾图片类别的精准识别,大赛参考深圳垃圾分类标准,按可回收物、厨余垃圾、有害垃圾和其他垃圾四项分类。

huawei-garbage icon huawei-garbage

2019 Huawei Cloud garbage Classification Competition online score 2th place

imagenet icon imagenet

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

imagenet_utils icon imagenet_utils

:arrow_double_down: Utils to help download images by id, crop bounding box, label images, etc.

kg-reeval icon kg-reeval

ACL 2020: A Re-evaluation of Knowledge Graph Completion Methods

language icon language

Shared repository for open-sourced projects from the Google AI Language team.

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