sodleave's repositories
python-web
python用于前端的一些脚本
Ad-papers
Papers on Computational Advertising
AutoSeries
Public solution for AutoSeries competition
CIKM-2019-AnalytiCup
2019-CIKM挑战赛，超大规模推荐之用户兴趣高效检索赛道 冠军解决方案
CIKM2020_DMT
Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020
Context-Aware-Multi-Modal-Transportation-Recommendation
KDD CUP 2019 Baseline
deep_learning
Basic Deep Learning
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18个章节，近30万字。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
GraphEmbedding
Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec
Kaggle-Ensemble-Guide
Code for the Kaggle Ensembling Guide Article on MLWave
Kaggle_Competition_Treasure
Describe past Kaggle solutions
KDD-Cup-2019-CAMMTR
Context-Aware Multi-Modal Transportation Recommendation
NRLPapers
Must-read papers on network representation learning (NRL) / network embedding (NE)
Paddle_baseline_KDD2019
PaddlePaddle baseline for KDD2019 "Context-Aware Multi-Modal Transportation Recommendation"
self-paced-ensemble
A general & effective ensemble framework for imbalance classification. | 泛用，高效，鲁棒的类别不平衡学习框架
Tencent2017_Final_Coda_Allegro
腾讯2017社交广告源码（决赛排名第23位）
Tencent2019_Finals_Rank1st
2019腾讯广告算法大赛完整代码（冠军）
tensorflow-DeepFM
Tensorflow implementation of DeepFM for CTR prediction.
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
xlearn
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.