邵晨同學's repositories
AI-RecommenderSystem
该仓库尝试整理推荐系统领域的一些经典算法模型
algs4-py
A Python library for the textbook Algorithms, 4th edition
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
malicious-attack-detection
a new attack detection platfrom
scikit-learn
scikit-learn: machine learning in Python
awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
Awesome-RSPapers
Recommender System Papers
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
data-science-complete-tutorial
For extensive instructor led learning
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Deep-SAD-PyTorch
A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
free-programming-books
:books: Freely available programming books
fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
ibm_bak
IBM Developer 中文网站文章备份
leetcode
Python & JAVA Solutions for Leetcode
leetcode-master
LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
My-C-Practice
Daily practice the C language
PaddleRec
Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFIS等，包含经典推荐系统数据集criteo 、movielens等
recommendation
Recommendation System using ML and DL
recommendation_model
练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM等
RecommendSystemExperiment
Collaborative Filter by Graph Convolutional Network.
RS-Academic-papers
Recommended system academic articles for graduate students
Semantic-Aware-Shilling-Attacks
In this paper, we introduce SAShA, a new attack strategy that leverages semantic features extracted from a knowledge graph in order to strengthen the efficacy of the attack to standard CF models. We performed an extensive experimental evaluation in order to investigate whether SAShA is more effective than baseline attacks against CF models by taking into account the impact of various semantic features.
xgboost-doc-zh
XGBoost 中文文档