Pinned Repositories
AFN-AAAI-20
Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
AIGC_NAV_list
AIGC Navigation List. AIGC（ChatGPT、文生图等）导航站点列表
bert4keras
keras implement of transformers for humans
BERT4Rec-VAE-Pytorch
Pytorch implementation of BERT4Rec and Netflix VAE.
bootcamp
CaseRecommender
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
category_encoders
A library of sklearn compatible categorical variable encoders
elasticsearch173
High performance elasticsearch1.7.3 when bulk
imylu
Pure Python implementation of machine learning algorithms
Recommender-System-with-TF2.0
Recurrence the recommender paper with Tensorflow2.0
jqsl2012's Repositories
jqsl2012/AIGC_NAV_list
AIGC Navigation List. AIGC（ChatGPT、文生图等）导航站点列表
jqsl2012/Recommender-System-with-TF2.0
Recurrence the recommender paper with Tensorflow2.0
jqsl2012/CodeNews
https://codenews.cc/about 是一个专注于【技术发明创造】交流的社区。
jqsl2012/AFN-AAAI-20
Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
jqsl2012/bert4keras
keras implement of transformers for humans
jqsl2012/category_encoders
A library of sklearn compatible categorical variable encoders
jqsl2012/cnsenti
中文情感分析库(Chinese Sentiment))可对文本进行情绪分析、正负情感分析。
jqsl2012/chatbook
jqsl2012/CTR
CTR模型代码和学习笔记总结
jqsl2012/deepctr-1
jqsl2012/dragonfly
A modern replacement for Redis and Memcached
jqsl2012/EasyRec
A framework for large scale recommendation algorithms.
jqsl2012/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
jqsl2012/jqsl2012.github.io
jqsl2012/KeyBERT
Minimal keyword extraction with BERT
jqsl2012/librec
LibRec: A Leading Java Library for Recommender Systems, see
jqsl2012/Neu-Review-Rec
A Toolkit for Neural Review-based Recommendation models with Pytorch.
jqsl2012/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
jqsl2012/prediction-flow
Deep-Learning based CTR models implemented by PyTorch
jqsl2012/pytorch-fm
Factorization Machine models in PyTorch
jqsl2012/RecBole
A unified, comprehensive and efficient recommendation library
jqsl2012/RecDatasets
jqsl2012/Recommender-System
A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
jqsl2012/RecQ
RecQ: A Python Framework for Recommender Systems (TensorFlow Based)
jqsl2012/RSPapers
Must-read papers on Recommender System.
jqsl2012/SparrowRecSys
A Deep Learning Recommender System
jqsl2012/Surprise
A Python scikit for building and analyzing recommender systems
jqsl2012/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.
jqsl2012/x-deeplearning
An industrial deep learning framework for high-dimension sparse data
jqsl2012/zheye
者也 - 知乎 倒立的文字 汉字验证码识别程序