Pinned Repositories
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BERT_Paper_Chinese_Translation
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 论文的中文翻译 Chinese Translation!
Co-Action-Network
Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction
CoreNLP
Stanford CoreNLP: A Java suite of core NLP tools.
Deep_Matrix_Factorization_Models
Implementation of the "Deep Matrix Factorization Models for Recommender Systems"
DeepClustering
Deep Clustering
DeepGBM
Implementation for the paper "DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks", which has been accepted by KDD'2019.
DeepInterestNetwork
deepwalk
DeepWalk - Deep Learning for Graphs
dien
lizhimin03's Repositories
lizhimin03/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
lizhimin03/the-algorithm
Source code for Twitter's Recommendation Algorithm
lizhimin03/the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
lizhimin03/MAIL
lizhimin03/Co-Action-Network
Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction
lizhimin03/RSPapers
A Curated List of Must-read Papers on Recommender System.
lizhimin03/GraphEmbedding
Implementation and experiments of graph embedding algorithms.
lizhimin03/EGES
lizhimin03/BERT_Paper_Chinese_Translation
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 论文的中文翻译 Chinese Translation!
lizhimin03/GNNPapers
Must-read papers on graph neural networks (GNN)
lizhimin03/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
lizhimin03/DeepClustering
Deep Clustering
lizhimin03/tensorflow_practice
tensorflow实战练习,包括强化学习、推荐系统、nlp等
lizhimin03/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
lizhimin03/DeepGBM
Implementation for the paper "DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks", which has been accepted by KDD'2019.
lizhimin03/DSIN
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
lizhimin03/GHM_Loss
The tensorflow implementation of GHM loss include class loss and regression loss. GHM loss is peoposed in "Gradient Harmonized Single-stage Detector" published on AAAI 2019 (Oral).
lizhimin03/keras-mmoe
A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
lizhimin03/Reco-papers
Classic papers and resources on recommendation
lizhimin03/DeepInterestNetwork
lizhimin03/pwc
Papers with code. Sorted by stars. Updated weekly.
lizhimin03/dien
lizhimin03/Stanford-CS-229-CN
A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译
lizhimin03/deepwalk
DeepWalk - Deep Learning for Graphs
lizhimin03/node2vec
lizhimin03/LINE
LINE: Large-scale information network embedding
lizhimin03/Deep_Matrix_Factorization_Models
Implementation of the "Deep Matrix Factorization Models for Recommender Systems"
lizhimin03/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
lizhimin03/CoreNLP
Stanford CoreNLP: A Java suite of core NLP tools.
lizhimin03/test
it's just a test program