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xhtian95's Projects

2018-bd-xjd icon 2018-bd-xjd

2018百度西交大大数据竞赛-商家招牌的分类与检测-初赛

cnn_graph icon cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

detectron.pytorch icon detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

fpn.pytorch icon fpn.pytorch

Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection

gat icon gat

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

gcn icon gcn

Implementation of Graph Convolutional Networks in TensorFlow

glove icon glove

GloVe model for distributed word representation

graphsage icon graphsage

Representation learning on large graphs using stochastic graph convolutions.

hugegraph icon hugegraph

HugeGraph Database core component, including graph engine, API, and built-in backends

keras-gat icon keras-gat

Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)

maskrcnn-benchmark icon maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

molgan icon molgan

Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)

musicdna icon musicdna

A Music Player for android that renders beautiful DNA(Visualization) of the currently playing music.

pgmpy icon pgmpy

Python Library for Probabilistic Graphical Models

pomegranate icon pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

py-faster-rcnn icon py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pytorch-handbook icon pytorch-handbook

pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行

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