Pinned Repositories
Breast-imaging-Deeplearning
基于深度学习的乳腺医学诊断
CBLUE
中文医疗信息处理基准CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
CTAI
基于深度学习的肿瘤辅助诊断系统，以图像分割为核心，利用人工智能完成肿瘤区域的识别勾画并提供肿瘤区域的特征来辅助医生进行诊断。有完整的模型构建、后端架设和前端访问功能。
darknet
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
DataXujing
docker-nginx
Official NGINX Dockerfiles
EasyNLP
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
eicu-code
Code and website related to the eICU Collaborative Research Database
elasticsearch
Free and Open, Distributed, RESTful Search Engine
elasticsearch-analysis-ik
The IK Analysis plugin integrates Lucene IK analyzer into elasticsearch, support customized dictionary.
myhome1998's Repositories
myhome1998/Breast-imaging-Deeplearning
基于深度学习的乳腺医学诊断
myhome1998/fastbook
Draft of the fastai book
myhome1998/general
A New Deep Reinforcement Learning Framework Base on huskarl
myhome1998/Pretrained-Language-Model
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
myhome1998/PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
myhome1998/bert
TensorFlow code and pre-trained models for BERT
myhome1998/CCTSDB
CSUST Chinese Traffic Sign Detection Benchmark
myhome1998/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
myhome1998/covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray or CT images.
myhome1998/covid19
東京都 新型コロナウイルス感染症対策サイト
myhome1998/Dlib_face_detection_from_camera
Real-time facial landmarks detection / 摄像头人脸检测并进行特征点标定
myhome1998/Dlib_install
The wheel package files of Dlib and pip for Python in Window / Dlib 和 pip 安装的 whl 文件
myhome1998/DXY-2019-nCoV-Data
2019新型冠状病毒疫情时间序列数据仓库
myhome1998/DXY-COVID-19-Crawler
2019新型冠状病毒疫情实时爬虫及API | COVID-19/2019-nCoV Realtime Infection Crawler and API
myhome1998/Early-warning-of-sepsis-in-trauma-patients
解放军总医院-麻省理工学院Datathon活动，小组任务两天内完成。基于解放军总医院创伤患者数据库，以创伤患者为研究对象，抽取患者实验室指标、人口统计学、干预等数据，以患者是否患脓毒症为结局变量，预测创伤患者进入ICU后24h内是否会得脓毒症，并研究导致患者获脓毒症的危险因子。
myhome1998/FaceMaskDetection
开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.
myhome1998/Faster-R-CNN-Keras
:construction::construction::construction: Faster R-CNN实现安防中安全帽佩戴目标检测
myhome1998/keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
myhome1998/LiSeetaFace2
离线人脸识别升级版SeetaFace2
myhome1998/mobile-vision
Mobile vision models and code
myhome1998/NER-Chinese
Comparison of Chinese Named Entity Recognition Models between NeuroNER and BertNER
myhome1998/Safety-Helmet-Wearing-Dataset
Safety helmet wearing detect dataset, with pretrained model
myhome1998/SeetaFace2
SeetaFace 2: open source, full stack face recognization toolkit.
myhome1998/Seg_Pos
Performance comparison between Chinese word segmentation and part-of-speech tagging tools
myhome1998/SmokeDetectionCNN
myhome1998/Speed-Estimation-of-Vehicles-with-Plate-Detection
The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisition of series of images from the video, trucks are detected using Haar Cascade Classifier. The model for the classifier is trained using lots of positive and negative images to make an XML file. This is followed by tracking down the vehicles and estimating their speeds with the help of their respective locations, ppm (pixels per meter) and fps (frames per second). Now, the cropped images of the identified trucks are sent for License Plate detection. The CCA (Connected Component Analysis) assists in Number Plate detection and Characters Segmentation. The SVC model is trained using characters images (20X20) and to increase the accuracy, 4 cross fold validation (Machine Learning) is also done. This model aids in recognizing the segmented characters. After recognition, the calculated speed of the trucks is fed into an excel sheet along with their license plate numbers. These trucks are also assigned some IDs to generate a systematized database.
myhome1998/tensorflow-yolov3
🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset
myhome1998/tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
myhome1998/vaex
Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second.
myhome1998/vaex-examples
Examples of using vaex