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ZhengxuYu's Projects

bgcn icon bgcn

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

causaldiscoverytoolbox icon causaldiscoverytoolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

cevae icon cevae

Causal Effect Inference with Deep Latent-Variable Models

colight icon colight

CoLight: Learning Network-level Cooperation for Traffic Signal Control

daft icon daft

Render probabilistic graphical models using matplotlib

deeplearning icon deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

densepose icon densepose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

docker-sumo icon docker-sumo

Containerised SUMO. Use sumo, sumo-gui and TraCI with Docker. :whale: :car:

gat icon gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

ggnn.pytorch icon ggnn.pytorch

A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

graphite icon graphite

Code for Graphite iterative graph generation

open-reid icon open-reid

Open source person re-identification library in python

pgmpy icon pgmpy

Python Library for Probabilistic Graphical Models

pygcn icon pygcn

Graph Convolutional Networks in PyTorch

pytorch-a2c-ppo-acktr icon pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

reid-mgn icon reid-mgn

Simple pytorch implement of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification

rl-adventure-2 icon rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

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