Name: weipingpku
Type: User
Company: Peking University & Mila
Bio: Ph.D. student at Peking University, Beijing.
Visiting student at Mila, Montréal.
Using deep learning improves RecSys.
Location: Beijing & Montréal
Blog: songweiping.github.io
weipingpku's Projects
Adversarial Learning, Matrix Factorization, Recommendation
Dynamic version of Poisson Factorization (dPF). dPF captures the changing interest of users and the evolution of items over time according to user-item ratings.
Library for fast text representation and classification.
A configurable, tunable, and reproducible library for CTR prediction, forked from https://github.com/huawei-noah/benchmark/tree/main/FuxiCTR
Implementation of Graph Auto-Encoders in TensorFlow
Implementation of Graph Convolutional Networks in TensorFlow
Representation learning on large graphs using stochastic graph convolutions.
TensorFlow implemenation of GRu4Rec model
Pytorch Implementation for ACL'19 "Few-Shot Representation Learning for Out-Of-Vocabulary Words"
Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)
LINE: Large-scale information network embedding
"End-To-End Memory Networks" in Tensorflow
Implementation of Nougat Neural Optical Understanding for Academic Documents
An Open-Source Package for Network Embedding (NE)
Latex Template of PhD Exam @ PKU
This repository contains recommendation papers and codes, especially reinforcement learning and knowledge graph-based recommendation methods.
RecQ: A Python Framework for Recommender Systems (TensorFlow Supported)
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"
pyTorch implementation of Spectral Normalization for Generative Adversarial Networks
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
TensorFlow Implementation of TCN (Temporal Convolutional Networks)
Computation using data flow graphs for scalable machine learning
TensorFlow tutorials and code examples for beginners