Pinned Repositories
Ad-papers
Papers on Computational Advertising
causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
CausalInferenceApplication
causalml_deeplearning
Uplift modeling and causal inference with deep learning algorithms
coding-interview-university
A complete computer science study plan to become a software engineer.
DeepCTR_tensorflow_keras_pytorch
Common Model about DeepCTR（WideDeep，DeepFM， DCN， XdeepFM）
GraphEmbeddingBipartite
Bipartite Graph Embedding use SDNE
GraphMiningFraud
图挖掘 反作弊 团伙
Text_classification_MLP_CNN_LSTM
Text classification using different models
TopologyGraphFraud
Fraudar and HoloScope
MarkovSc's Repositories
MarkovSc/DeepCTR_tensorflow_keras_pytorch
Common Model about DeepCTR（WideDeep，DeepFM， DCN， XdeepFM）
MarkovSc/GraphMiningFraud
图挖掘 反作弊 团伙
MarkovSc/TopologyGraphFraud
Fraudar and HoloScope
MarkovSc/CausalInferenceApplication
MarkovSc/GraphEmbeddingBipartite
Bipartite Graph Embedding use SDNE
MarkovSc/Ad-papers
Papers on Computational Advertising
MarkovSc/causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
MarkovSc/causalml_deeplearning
Uplift modeling and causal inference with deep learning algorithms
MarkovSc/coding-interview-university
A complete computer science study plan to become a software engineer.
MarkovSc/datasketch
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble
MarkovSc/Deep_Learning_Causal_Inference
MarkovSc/dp_basic
基础部分重现
MarkovSc/dragonnet
NN-Network Uplift Related
MarkovSc/example-mkdocs-basic
A basic MkDocs project for Read the Docs
MarkovSc/example-sphinx-basic
A basic Sphinx project for Read the Docs
MarkovSc/fraudar
A wrapper of FRAUDAR algorithm
MarkovSc/fun-rec
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
MarkovSc/GNNPapers
Must-read papers on graph neural networks (GNN)
MarkovSc/Graph_Embedding_Sparse
MarkovSc/hash_trick_spam_email
MarkovSc/Kaggle_Solution
Kaggle Competition of Pet Finder
MarkovSc/MadMario
Interactive tutorial to build a learning Mario, for first-time RL learners
MarkovSc/Markov-Notebook
个人的算法工作笔记
MarkovSc/Markov_Note
MarkovSc/MathStatsCode
Codes for my mathematical statistics course
MarkovSc/NLP-with-Python
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
MarkovSc/nlp_basic
MarkovSc/pygcn
Graph Convolutional Networks in PyTorch
MarkovSc/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
MarkovSc/skills-github-pages
My clone repository