Wenhao Yang's repositories
CS-BAOYAN-2022
计算机保研交流群（QQ群号：605176069）
CVPR2018-Baseline-PSNRplot
This is my codes that can visualize the psnr image in testing videos.
Char-adv-using-LID-torch
There are my Pytorch codes for charactering adversarial subspace using local intrinsic dimensionality.
CSLabInfo2022
关于2022年CS保研实验室/导师招生广告的汇总。欢迎想要打广告的小伙伴积极pr，资瓷一下互联网精神吼不吼啊？
CSSummerCamp2022
关于2022年CS保研夏令营通知公告的汇总。欢迎大家积极分享夏令营信息，资瓷一下互联网精神吼不吼啊？
cs231n-master2020
The finished assignment of cs231n in Stanford University 2020.
CSSummerCamp2021
关于2021年CS保研夏令营通知公告的汇总。欢迎大家积极分享夏令营信息，资瓷一下互联网精神吼不吼啊？
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
ano_pred_cvpr2018
Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018
awesome-action-recognition
A curated list of action recognition and related area resources
awesome-anomaly-detection
A curated list of awesome anomaly detection resources
awesome-hand-pose-estimation
Awesome work on hand pose estimation/tracking
Awesome-Image-Inpainting
A curated list of image inpainting and video inpainting papers and resources
Awesome-person-re-identification
Awesome Person Re-identification
awesome-video-anomaly-detection
Papers for Video Anomaly Detection, released codes collection, Performance Comparision.
Deep-Forest
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
DRO-LT
Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"
lid_adversarial_subspace_detection
Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".
memAE
unofficial implementation of paper Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder (MemAE) for Unsupervised Anomaly Detection
memae-anomaly-detection
MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.
MPN
Official codes of CVPR21 paper: Learning Normal Dynamics in Videos with Meta Prototype Network
Part-dependent-label-noise
NeurIPS'2020: Part-dependent Label Noise: Towards Instance-dependent Label Noise