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Xiangyi1996

Xiangyi Zhang's Projects

awesome-object-detection icon awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

canet_plus icon canet_plus

The code for paper "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"

contextlab icon contextlab

ContextLab: A Toolbox for Context Feature Augmentation developed with PyTorch

deeplearning.ai-summary icon deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

deepo icon deepo

A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.

dive-into-dl-pytorch icon dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

embarrassingly-simple-zsl icon embarrassingly-simple-zsl

This repository contains the code for the real data experiments presented in our paper “An embarrassingly simple approach to zero-shot learning”, presented at ICML 2015.

hangzhou_house_knowledge icon hangzhou_house_knowledge

2017年买房经历总结出来的买房购房知识分享给大家,希望对大家有所帮助。买房不易,且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.

ho-rcnn icon ho-rcnn

Code for reproducing the results in "Learning to Detect Human-Object Interactions"

ican icon ican

[BMVC 2018] iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection

instpred icon instpred

Predicting Future Instance Segmentation by Forecasting Convolutional Features

maskrcnn-benchmark icon maskrcnn-benchmark

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

mediapipe icon mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

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