Yang Zou (yzou2)

yzou2

Geek Repo

Company:Amazon Web Services

Home Page:https://yzou2.github.io/

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Yang Zou's repositories

CRST

Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)

CBST

Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18

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DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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multi-task-learning-example

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

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spot-diff

Project for <SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation> (ECCV 2022)

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DG-Net

CVPR2019 Joint Discriminative and Generative Learning for Person Re-identification

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DG-Net-PP

Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification. ECCV'20 (Oral)

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DS-ML-Interview-Questions

An Personal Note for DS/ML interview questions

Pytorch-Deeplab

DeepLab-ResNet rebuilt in Pytorch

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pytorch-segmentation-toolbox

PyTorch Implementations for DeeplabV3 and PSPNet

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academic-kickstart

Easily create a beautiful website using Academic and Hugo

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AnomalyDetector

Samples for the Anomaly Detection API documentation:

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awesome-stock-resources

:city_sunrise: A collection of links for free stock photography, video and Illustration websites

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data-lake-as-code

Data Lake as Code, featuring ChEMBL and OpenTargets

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Deeplab-v3plus

A higher performance pytorch implementation of DeepLab V3 Plus(DeepLab v3+)

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DISE-Domain-Invariant-Structure-Extraction

Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019

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DORN_pytorch

PyTorch implementation of Deep Ordinal Regression Network for Monocular Depth Estimation

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google-translate-api

A free and unlimited API for Google Translate :dollar::no_entry_sign:

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machine-learning-interview

Machine learning interview questions and answers

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machine-learning-interview-questions

This repository is to prepare for Machine Learning interviews.

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NVAE

The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

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Person_reID_baseline_pytorch

Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

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seal

Code for Simultaneous Edge Alignment and Learning (SEAL)

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simsiam

PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

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Unsupervised_Embedding_Learning

Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature

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vanleuven_academic

Andrew Van Leuven's academic page

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vision

Datasets, Transforms and Models specific to Computer Vision

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