Pinned Repositories
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-S2-118
bertcner
Chinese clinical named entity recognition using pre-trained BERT model
booksource
《第一行代码 第2版》全书源代码
CBLUE
中文医疗信息处理基准CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
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。
ChineseEHRBert
A Chinese EHR Bert Pretrained Model.
chineseocr
yolo3+ocr
chineseocr_lite
超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M
CNNGestureRecognizer
Gesture recognition via CNN. Implemented in Keras + Tensorflow/Theano + OpenCV
Yanzzip's Repositories
Yanzzip/Reinforcement-Learning-in-Process-Control
Master thesis spring 2019. Template to be futher used by the department of chemical engineering at NTNU,
Yanzzip/python_for_data_analysis_2nd_chinese_version
《利用Python进行数据分析·第2版》
Yanzzip/Dapp-Learning
Dapp learning project for developers at all stages. Becoming and cultivating sovereign individuals. Nonprofit organization.
Yanzzip/TrWebOCR
开源易用的中文离线OCR，识别率媲美大厂，并且提供了易用的web页面及web的接口，方便人类日常工作使用或者其他程序来调用~
Yanzzip/LinkFree
Open source alternative to LinkTree
Yanzzip/chineseocr_lite
超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M
Yanzzip/CNNGestureRecognizer
Gesture recognition via CNN. Implemented in Keras + Tensorflow/Theano + OpenCV
Yanzzip/CBLUE
中文医疗信息处理基准CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
Yanzzip/week1
week 1 coding assignment
Yanzzip/CovidAID
COVID-19 Detection Using Chest X-Ray
Yanzzip/ZKUcode
Yanzzip/linktree
Simple site to group all my profiles on social networks in one place. A free Linktree alternative.
Yanzzip/imcs-ir
Solution of IMCS Dataset IR Task from CBLUE
Yanzzip/chineseocr
yolo3+ocr
Yanzzip/label-studio-transformers
Label data using HuggingFace's transformers and automatically get a prediction service
Yanzzip/covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray or CT images.
Yanzzip/ChineseEHRBert
A Chinese EHR Bert Pretrained Model.
Yanzzip/Covid_detection_CNN
Yanzzip/bertcner
Chinese clinical named entity recognition using pre-trained BERT model
Yanzzip/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。
Yanzzip/DeepNER
天池中药说明书实体识别挑战冠军方案；中文命名实体识别；NER; BERT-CRF & BERT-SPAN & BERT-MRC；Pytorch
Yanzzip/COVID-19-Deep-Learning-CNN-Model
Here, I created my own deep learning(CNN) model for early detection of COVID-19 from chest x-ray images. If we were to answer the question that why we need a deep learning model for early detection of COVID-19 from chest x-ray images, we can say the followings, doctors have seen that even if the test kits desined for diagnosis results in negative, the real results are positive for some patients when they review the chest X-ray images. For now the public dataset contains less amount of data which you can see in the dataset2 folder. We get this dataset from open-source https://github.com/ieee8023/covid-chestxray-dataset, but for sure it is not enough to train a proper deep learning model. But just to show that how easy it is to create an AI for the early detection of these kind of viruses. Just keep in mind that this cannot be used for diagnosis without training many more images in high-resolution and professinal medical tests. There you go! Let's work together to fight against COVID-19. As a tool, I used Keras with Tensorflow background, and the model can be improved by addig more convolution and pooling layers, and increasing the number of feature detectors'. Don't forget to upvote. Best Regards.
Yanzzip/booksource
《第一行代码 第2版》全书源代码
Yanzzip/daolun
Yanzzip/-
Yanzzip/-S2-118