Yifan WANG (YifanWang-China)

YifanWang-China

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Company:SIA

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Yifan WANG's starred repositories

CLIP-Driven-Universal-Model

[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.

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RSNA2019_Intracranial-Hemorrhage-Detection

Code for 1st Place Solution in Intracranial Hemorrhage Detection Challenge @ RSNA2019

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hello-algo

《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version ongoing

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SA-MIL

The codes for paper "Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection" accepted in MICCAI 2023.

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SPDNet

GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.

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RSOpt

Riemannian stochastic optimization algorithms: Version 1.0.3

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pytorch-sqrtm

Matrix square root with gradient support for PyTorch

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transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

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LTSF-Linear

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

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FECAM

About Code release for "FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting" ⌚

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eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

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Informer2020

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

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pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)

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rul_of_cutter

刀具剩余寿命预测

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SSLDPCA-IL-FaultDetection

Semi-Supervised Density Peak Clustering Algorithm, Incremental Learning, Fault Detection(基于半监督密度聚类+增量学习的故障诊断)

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rnn_in_forecasting_tool_wear

Maybe the 1st tool wear forecasting by DL

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ml-tool-wear

Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as described in article "Self-Supervised Learning for Tool Wear Monitoring with a Disentangled-Variational-Autoencoder"

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d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

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Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

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