Shengyu Zhang (shengyuzhang)

shengyuzhang

Geek Repo

Location:Zhejiang University

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

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Shengyu Zhang's starred repositories

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reminders-menubar

Simple macOS menu bar application to view and interact with reminders. Developed with SwiftUI and using Apple Reminders as a source.

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rustdesk

An open-source remote desktop application designed for self-hosting, as an alternative to TeamViewer.

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pysoxy

A small Socks5 Proxy Server in Python

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luoxi_models

see readme

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FATrec

Official repo of Future-aware Diverse Trends Framework for Recommendation

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IMRec

The dataset for paper "Why Do We Click: Visual Impression-aware News Recommendation", ACM MM 2021

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AVID-CMA

Audio Visual Instance Discrimination with Cross-Modal Agreement

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GCI

Code for Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis (NAACL 2021 oral paper)

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VideoTitling

Comprehensive Information Integration Modeling Framework for Video Titling

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EdgeRec

mcc_demo

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Causal_Reading_Group

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

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DingtalkChatbot

钉钉群自定义机器人消息Python封装

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singa

a distributed deep learning platform

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CaptuocrToy

A tool to capture screenshot and recognize text by online ocr apis

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DRL4Recsys

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

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zoomdl

Download Zoom recorded meetings easily

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ComiRec

Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

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DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

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DeVLBert

DeVLBert: Learning Deconfounded Visio-Linguistic Representations

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vmess2json

Scripts parse vmess:// links into v2ray config json and vice versa.

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hydra

Hydra is a framework for elegantly configuring complex applications

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GCC

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020

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VC-R-CNN

[CVPR 2020] The official pytorch implementation of ``Visual Commonsense R-CNN''

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Efficient-PyTorch

My best practice of training large dataset using PyTorch.

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