Yiyuan Yang (yyysjz1997)

yyysjz1997

Geek Repo

Company:University of Oxford

Location:Oxford

Home Page:https://yyysjz1997.github.io/

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Yiyuan Yang's repositories

Awesome-TimeSeries-SpatioTemporal-Diffusion-Model

A survey and paper list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).

Awesome-AudioVision-Multimodal

A list of current Audio-Vision Multimodal with awesome resources (paper, application, data, review, survey, etc.).

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the-law-of-the-jungle

本科《MATLAB与系统仿真课设》弱肉强食 MATLAB GUI

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yyysjz1997.github.io

Personal Website: Yiyuan Yang (杨毅远)

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SGDP

SGDP: A Stream-Graph Neural Network Based Data Prefetcher

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chineseocr

yolo3+ocr

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git-tips

:trollface:Git的奇技淫巧

ML2022-Spring

**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring

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tianchi

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Anomaly-Transformer

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

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Awesome_Imputation

Awesome Time-Series Imputation Papers, including a must-read paper list about using deep learning neural networks to impute incomplete time series containing NaN missing values/data

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DeepOD

Deep learning-based outlier/anomaly detection

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DeepRL

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

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easy-rl

强化学习中文教程(蘑菇书),在线阅读地址:https://datawhalechina.github.io/easy-rl/

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google-research

Google Research

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Informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

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Kaggle-RSNA

5th place solution for: RSNA Intracranial Hemorrhage Detection

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pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

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pumpkin-book

《机器学习》(西瓜书)公式详解

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RSNA-Intracranial-Hemorrhage-Detection

Repo for RSNA Intracranial Hemorrhage Detection

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SIGS-Convex2019-project

Inter-prediction for Multiview video coding

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Stock-Price-Prediction-using-HMM-and-interpreting-underlying-Hidden-States

Implemented the concepts of Markov chains on stock prices as time-series data to understand its variation. Interpreted the underlying hidden states on which prices of stock indices depend. Modified a Hidden Markov Model to predict the future prices of a stock with a comparative time frame analysis.

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TranAD

[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

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transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

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