Block or Report
Block or report malizheng
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseLanguage
Sort by: Recently starred
Starred repositories
Qukatrans is a screenshot translation and document translation software for Windows and macOS that supports bilingual comparison.
A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)
A list of recent papers about Graph Neural Network methods applied in NLP areas.
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020
Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
Lecture notes for the Causality in Machine Learning course
PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search
Code for "Neural causal learning from unknown interventions"
Hyperbolic Graph Convolutional Networks in PyTorch.
Graph Neural Network Library for PyTorch
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)
A comprehensive collection of recent papers on graph deep learning
Experiments on the lottery ticket hypothesis for finding sparse trainable neural networks
CompILE: Compositional Imitation Learning and Execution (ICML 2019)
An implementation of Accelerated Neural Evolution through Cooperatively Coevolved Synapses in Python3
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, suc…
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang
Papers about recommendation systems that I am interested in