zcrwind
Master of PKU, major in computer science. Interest: RecSys, LLM, deep graph learning.
Peking UniversityBeijing, China
Pinned Repositories
AUFS_ZSL
The source code of our IJCAI 2018 paper "Visual Data Synthesis via GAN for Zero-shot Video Classification".
dr-aim
The source code of our BIBM 2019 paper "Molecular Graph Generation with Deep Reinforced Multitask Network and Adversarial Imitation Learning".
knowledge-distillation-pytorch
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
listwise-LTR
list-wise learning-to-rank algorithm.
mysite
基于Django2搭建的个人博客平台,专注技术分享、学习记录!
PredNet_pytorch
A pytorch reimplement of PredNet, which is a deep recurrent convolutional neural network for video prediction and unsupervised learning.
PREFER
Python-100-Days
Python - 100天从新手到大师
ss-graph-distillation
The source code of our IJCAI 2018 paper "Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification".
tgg-pytorch
The source code of our ACM MM 2019 paper "TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning".
zcrwind's Repositories
zcrwind/awesome-self-supervised-learning
A curated list of awesome Self-Supervised methods
zcrwind/ChemTS
Molecule Design using Monte Carlo Tree Search with Neural Rollout
zcrwind/cnn-graph-classification
A convolutional neural network for graph classification in PyTorch
zcrwind/curiosity-driven-exploration-pytorch
Curiosity-driven Exploration by Self-supervised Prediction
zcrwind/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
zcrwind/Event2vec
Representation Learning for Heterogeneous Information Networks via Embedding Events
zcrwind/Feature-Generating-Networks-for-ZSL
This repository is an implementation of Feature Generating Networks for Zero Shot Learning (https://arxiv.org/pdf/1712.00981.pdf).
zcrwind/GAM
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
zcrwind/GANimation
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
zcrwind/GNNPapers
zcrwind/google-research
Google AI Research
zcrwind/grammarVAE
Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925
zcrwind/graph2vec
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
zcrwind/GraphGAN
A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
zcrwind/HEER
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)
zcrwind/iclr19-graph2graph
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)
zcrwind/imitation
Code for the paper "Generative Adversarial Imitation Learning"
zcrwind/lgcn
zcrwind/molecule_generator
Code for "Multi-Objective De Novo Drug Design with Conditional Graph Generative Model" (https://arxiv.org/abs/1801.07299)
zcrwind/MolGAN
Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)
zcrwind/NerveNet
zcrwind/nettack
Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".
zcrwind/ovilia.github.io
Ovilia's personal site
zcrwind/Reinforcement_learning_tutorial_with_demo
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
zcrwind/REINVENT
Molecular De Novo design using Recurrent Neural Networks and Reinforcement Learning
zcrwind/rl_graph_generation
zcrwind/sp-aen.cvpr18
Zero-Shot Visual Recognition using Semantic-Preserving Adversarial Embedding Networks
zcrwind/tensorflow_practice
tensorflow实战练习,包括强化学习、推荐系统、nlp等
zcrwind/TPN
Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.
zcrwind/Zero-Shot-Action-Recognition-with-Two-Stream-GCN
I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs