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image_scale

keyword_extraction

利用Python实现中文文本关键词抽取，分别采用TF-IDF、TextRank、Word2Vec词聚类三种方法。

kg-beijing

北京知识图谱学习小组

kg-demo-for-movie

从无到有构建一个电影知识图谱，并基于该KG，开发一个简易的KBQA程序。

kgpro

知识图谱轻量框架

labelimgtool

lianliankan

连连看加表白

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lightgbm-gbdt-lr

a python code of applying GBDT+LR for CTR prediction

machine-learning

关于机器学习的内容

memorieslacafe

Javaweb,my first project in the Internet,for caffe education.

mfc-seetaface-facerec

MFC-seetaFace人脸识别程序（需要自行添加３个seetaface的模型）

mp3player

MFC

mtcnn_face_detection_alignment

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

multi-label-textclassification

多标签文本分类

multi-task-learning

TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset

mvdssm

A Multi-View DSSM for Recommendation System with tensorflow estimator.

ner_demo

中文命名实体识别NER。用keras实现BILSTM+CRF、IDCNN+CRF、BERT+BILSTM+CRF进行实体识别。结果当然是BERT+BILSTM+CRF最好啦。

nlp_paper_study

研读顶会论文，复现论文相关代码

nlp_research

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

ocr_tensorflow_cnn

tensorflow 实现端到端的OCR：二代身份证号识别

openface

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

paddlerec

大规模推荐模型训练工具

paper

deeplearning

papers

papers we read about Recommendation Advertising & Search

py-faster-rcnn-and-ohter-caffe-tools

包含caffe的一些python工具以及faster-rcnn作标签和数据需要用到的工具

python-spider

:rainbow:Python3网络爬虫实战：VIP视频破解助手；GEETEST验证码破解；小说、动漫下载；手机APP爬取；财务报表入库；火车票抢票；抖音APP视频下载；百万英雄辅助；网易云音乐下载；B站视频和弹幕下载；京东晒单图下载

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

qasystemonmedicalkg

disease centered Medical knowledge graph and qa system。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。