zcrwind Goto Github PK
Name: Chenrui Zhang
Type: User
Company: Peking University
Bio: Master of PKU, major in computer science. Interest: RecSys, LLM, deep graph learning.
Location: Beijing, China
Blog: http://zhangchenrui.xyz
Name: Chenrui Zhang
Type: User
Company: Peking University
Bio: Master of PKU, major in computer science. Interest: RecSys, LLM, deep graph learning.
Location: Beijing, China
Blog: http://zhangchenrui.xyz
The source code of our BIBM 2019 paper "Molecular Graph Generation with Deep Reinforced Multitask Network and Adversarial Imitation Learning".
TensorFlow Implementation of "DRAW: A Recurrent Neural Network For Image Generation"
Improved Dense Trajectory features encoded by Fisher Vectors
DualGAN-tensorflow: tensorflow implementation of DualGAN
Torch implementing of ECCV'16 paper: Attribute2Image
Representation Learning for Heterogeneous Information Networks via Embedding Events
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Two traditional face recognition methods: Eigenfaces and Fisherfaces which based on PCA and LDA respectively.
This repository is an implementation of Feature Generating Networks for Zero Shot Learning (https://arxiv.org/pdf/1712.00981.pdf).
FeatureLearning-ECCV2016
The first static website developed by zcrwind, for the 11vs11 group of Northwestern Polytechnical University (NPU) soccor robot base.
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Interpolate and extrapolate video frames using cGAN
Video Object Segmentation
A Flexible Generative Framework for Graph-based Semi-supervised Learning
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
starter from "How to Train a GAN?" at NIPS2016
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems
Implementation of Graph Convolutional Networks in TensorFlow
Pytorch Implementation of Graph Convolutional Neural Networks
Code of the article: Generating Visual Representations for Zero-Shot Classification ICCV17 WS
This is our implementation of GHCF: Graph Heterogeneous Collaborative Filtering (AAAI 2021)
Graph Markov Neural Networks
Google AI Research
Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.