Ouy_Kai's repositories
AITM
TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising. [https://arxiv.org/abs/2105.08489]
AlgoNotes
公众号【浅梦学习笔记】文章汇总:包含 排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合 计算广告，大数据，图算法，NLP&CV，求职面试 等内容
Awesome-Multi-Task-Learning
A list of multi-task learning papers and projects.
awesome-resume-for-chinese
:page_facing_up: 适合中文的简历模板收集（LaTeX，HTML/JS and so on）由 @hoochanlon 维护
CTR
CTR模型代码和学习笔记总结
deep_recommenders
Deep Recommenders
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
EasyRec
A framework for large scale recommendation algorithms.
h-transformer-1d
Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning
HGNN-AC
Source code of "WWW21 - Heterogeneous Graph Neural Network via Attribute Completion"
LATTICE
[ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"
local-attention
An implementation of local windowed attention for language modeling
longformer
Longformer: The Long-Document Transformer
NLP_ability
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力
ptranking
Learning to Rank in PyTorch
qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.
quant-trading
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
RecBole
A unified, comprehensive and efficient recommendation library
Recommend-System-tf2.0
原理解析及代码实战，推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴，欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues，也可加文末的联系方式向我询问！
Recommender-System-Datasets
A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range of recommendation tasks.
Recommender-System-with-TF2.0
Recurrence the recommender paper with Tensorflow2.0
SEFrame
An Efficient and Effective Framework for Session-based Social Recommendation
SHGNN
The source code of the paper "SHGNN: Structure-Aware Heterogeneous Graph Neural Network"
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
transformers-keras
Transformer-based models implemented in tensorflow 2.x(using keras).