举起手来's repositories
AIGC_NAV_list
AIGC Navigation List. AIGC（ChatGPT、文生图等）导航站点列表
Recommender-System-with-TF2.0
Recurrence the recommender paper with Tensorflow2.0
AFN-AAAI-20
Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
bert4keras
keras implement of transformers for humans
category_encoders
A library of sklearn compatible categorical variable encoders
dragonfly
A modern replacement for Redis and Memcached
GBDT_Simple_Tutorial
python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision
Neu-Review-Rec
A Toolkit for Neural Review-based Recommendation models with Pytorch.
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
prediction-flow
Deep-Learning based CTR models implemented by PyTorch
pytorch-fm
Factorization Machine models in PyTorch
Recommender-System
A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
RSPapers
Must-read papers on Recommender System.
SparrowRecSys
A Deep Learning Recommender System
torecsys
ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embedding. The project objective is to develop an ecosystem to experiment, share, reproduce, and deploy in real-world in a smooth and easy way.
x-deeplearning
An industrial deep learning framework for high-dimension sparse data