HiJuly's repositories
Deep-Short-Text-Classification
all kinds of text classification models and more with deep learning
string-tools
java字符串处理工具集。目前仅支持某些中文的繁体<->简体的转换和cityhash实现,其中繁简对应关系收录在字典文件,必要时可以自行扩展。cityhash的结果完全和官方c版本一致。
AITM
TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper submitted to KDD21: Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning for Customer Acquisition.
AutoInt
Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
CIKM2020_DMT
Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020
Co-Action-Network
Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction
CTRmodel
CTR prediction model based on spark(LR, GBDT, DNN)
Deep_Rec
存放推荐算法相关代码、文档、资料
DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为15个章节,近20万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
DeepLearningStudy
造轮子**。
EasyRec
A framework for large scale recommendation algorithms.
GCN_study
GCN 入门学习教程
GraphEmbedding
Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec
HiNet
Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction
Keras-Multi-Label-Image-Classification
Keras- Multi Label Image Classification
LibMTL
A PyTorch Library for Multi-Task Learning
meterstick
A concise syntax to describe and execute routine data analysis tasks
monolith
ByteDance's Recommendation System
SAR-Net
Code for "SAR-Net: Shape Alignment and Recovery Network for Category-level 6D Object Pose and Size Estimation" CVPR2022
word2vec
Re-implementation of Word2Vec using Tensorflow v2 Estimators and Datasets
x-deeplearning
An industrial deep learning framework for high-dimension sparse data