Stars
QAmatch(qa_match)/文本匹配/文本分类/文本embedding/文本聚类/文本检索（bow/ifidf/ngramtf-df/bert/albert/bm25/…/nn/gbdt/xgb/kmeans/dscan/faiss/….）
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Some practices about deep learning
A best practice for tensorflow project template architecture.
A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
Implements of Awesome RecSystem Models with PyTorch/TF2.0
深度学习入门教程, 优秀文章, Deep Learning Tutorial
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
《剑指Offer》第二版源代码（Clone from: https://github.com/zhedahht/CodingInterviewChinese2）
字节跳动短视频内容理解和推荐 Track2 Top8
Hello TensorFlow
The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
CTR prediction model based on spark(LR, GBDT, DNN)
零售电商客户流失模型，基于tensorflow，xgboost4j-spark，spark-ml实现LR，FM，GBDT，RF，进行模型效果对比，离线/在线部署方式总结
kafka + structured streaming + phoenix + elasticsearch 基于行为日志实现热门推荐，用户偏好推荐，召回融合策略实现。
基于RFM和决策树模型构建专家推荐系统。融合了RFM模型和决策树模型，结合专业运营人员的业务经营，发掘潜在用户，进行推荐营销召回。
Code base for the Learning PySpark book (in preparation)