mcdragon Goto Github PK

mirism-nghttp2

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

mtrajrec

Map-Constrained Trajectory Recovery (KDD'21)

multiscalernn

This is a PyTorch implementation of the ICLR 2017 paper "HIERARCHICAL MULTISCALE RECURRENT NEURAL NETWORKS" (https://openreview.net/pdf?id=S1di0sfgl).

nad

This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks](https://arxiv.org/abs/2101.05930) in PyTorch.

neurips2021-traffic4cast

Code accompanying our NeurIPS 2021 traffic4cast challenge

nlu-hmrnn

Hierarchical Multiscale RNN, course project for "NLU and Computational Semantic" at NYU

oucml

periodicmove

This is the source code for “PeriodicMove: Shift-aware Human Mobility Recovery with Graph Neural Network” accepted by CIKM 2021.

ppr-master

This is an implementation of the POI recommendation model-PPR.

pyecharts-gallery

Just use pyecharts to imitate Echarts official example.

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pyhgt

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

python-chinamap

使用 PyNGL 库绘制**地图

pytorch-tutorials-examples-and-books

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

rgbn-rnn

the code for Recurrent Hierarchical Topic-Guided RNN for Language Generation tensorflow

sccaps

An interpretable deep-learning architecture of capsule networks for identifying cellular-type gene expression programs from single-cell RNA-seq data

scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

seaborn-data

Data repository for seaborn examples

spatial-temporal-attention-network-for-poi-recommendation

Codes for a WWW'21 Paper. A state-of-the-art recommender system for location/trajectory prediction.

spatio-temporal-diffusion-point-processes

A diffusion-based framework for spatio-temporal point processes

sr-gnn

[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

st-grat

The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Road Speed

st-metanet

The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"

st-mgcn-pytorch

This is a PyTorch implementation of the ST-MGCN model in <Spatiotemporal Multi-Graph Convolution Network for Ride-hailing Demand Forecasting> (http://www-scf.usc.edu/~yaguang/papers/aaai19_multi_graph_convolution.pdf)

st-resnet-pytorch

The implementation of ST-ResNet in PyTorch.

st-ssl

The codes of paper "Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction".

st-ssl_dataset

The data of paper "Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction".