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Hi, I'm Shuai Xie, a CS master student graduated from Zhejiang University.

  • 🎯 I’m currently working on Cloud-native Large Scale End2End Machine Learning System.
  • 🎨 I’m currently learning kubernetes and kubeflow.

Shuai Xie's Projects

sniper icon sniper

SNIPER is an efficient multi-scale object detection algorithm

sort icon sort

八大排序,插入,shell,选择,堆,冒泡,快速,归并,基数

structure_knowledge_distillation icon structure_knowledge_distillation

The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.

sunets icon sunets

PyTorch Implementation of Stacked U-Nets (SUNets)

swissarmytransformer icon swissarmytransformer

SwissArmyTransformer is a flexible and powerful library to develop your own Transformer variants.

syndata-generation icon syndata-generation

Code used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut, Paste and Learn paper

tinyflow icon tinyflow

A simple deep learning framework that supports automatic differentiation and GPU acceleration.

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

u-2-net icon u-2-net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

vaal icon vaal

Variational Adversarial Active Learning (ICCV 2019)

viewal icon viewal

[CVPR'20] Implementation for the paper "ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation"

vipaturks icon vipaturks

base Dataturks, build AI + X 智能数据标注平台 with Active Sample Mining

vitae-vsa icon vitae-vsa

The official repo for [ECCV'22] "VSA: Learning Varied-Size Window Attention in Vision Transformers"

wali-turtlebot icon wali-turtlebot

Autonomous Driving Turtlebot using BiSeNet segmentation network on RGBD data

white-box-cartoonization icon white-box-cartoonization

Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”

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