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al's Projects

mx-rcnn icon mx-rcnn

Parallel Faster R-CNN implementation with MXNet.

mxnet-ssd icon mxnet-ssd

MXNet port of SSD: Single Shot MultiBox Object Detector. Reimplementation of https://github.com/weiliu89/caffe/tree/ssd

ncmdump icon ncmdump

python版本网易云音乐ncm文件格式转换

neural-motifs icon neural-motifs

Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)

ogb icon ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

oucthesis icon oucthesis

**海洋大学硕士博士学位论文 LaTeX 模板 Latex template for OUC graduate thesis.

pgl icon pgl

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

pumpkin-book icon pumpkin-book

《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book

px2graph icon px2graph

Training code for "Pixels to Graphs by Associative Embedding"

py-faster-rcnn icon py-faster-rcnn

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

seg_every_thing icon seg_every_thing

Code release for R. Hu et al., Learning to Segment Every Thing. in CVPR, 2018.

ssd_keras icon ssd_keras

A Keras port of Single Shot MultiBox Detector

tor icon tor

unofficial git repo -- report bugs/issues/pull requests on https://gitlab.torproject.org/ --

vae_tutorial icon vae_tutorial

Caffe code to accompany my Tutorial on Variational Autoencoders

vctree-scene-graph-generation icon vctree-scene-graph-generation

Code for the Scene Graph Generation part of CVPR 2019 oral paper: "Learning to Compose Dynamic Tree Structures for Visual Contexts"

vision icon vision

Datasets, Transforms and Models specific to Computer Vision

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