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Sylvia's Projects

amttl icon amttl

Code & Data for our COLING 2018 paper "Adaptive Multi-Task Transfer Learning for Chinese Word Segmentation in Medical Text"

apollo icon apollo

An open autonomous driving platform

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

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

bert icon bert

TensorFlow code and pre-trained models for BERT

cblue icon cblue

中文医疗信息处理基准CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

chatglm-6b icon chatglm-6b

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

chatglm2-6b icon chatglm2-6b

ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

chatglm3 icon chatglm3

ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型

chatgpt-next-web icon chatgpt-next-web

A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。

chinese-bert-wwm icon chinese-bert-wwm

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

chinese-clinical-ner icon chinese-clinical-ner

CCKS2019中文命名实体识别任务。从医疗文本中识别疾病和诊断、解剖部位、影像检查、实验室检验、手术和药物6种命名实体。现已实现基于jieba和AC自动机的baseline构建、基于BiLSTM和CRF的序列标住模型构建。bert的部分代码主要源于https://github.com/charles9n/bert-sklearn.git 感谢作者。 模型最终测试集得分0.81,还有较大改进空间。可以当做一个baseline。

cnmer icon cnmer

CNMER: A model for Chinese medical named entity extraction

commai-env icon commai-env

A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130

cvpr2020 icon cvpr2020

cvpr2020/cvpr2019/cvpr2018/cvpr2017 papers,极市团队整理

ddparser icon ddparser

百度开源的依存句法分析系统

electra icon electra

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

ernie icon ernie

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

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