wanlong111

wanlong111's Stars

• youngyangyang04/kamacoder-solutions

  卡码网题解全集

  374125

• JDAI-CV/fast-reid

  SOTA Re-identification Methods and Toolbox

  Language:Python3.5k837

• Astaxanthin/AdaSP

  [CVPR 2023] Adaptive Sparse Pairwise Loss for Object Re-Identification

  Language:Python549

• sihyun-yu/PVDM

  Official PyTorch implementation of Video Probabilistic Diffusion Models in Projected Latent Space (CVPR 2023).

  Language:Python30615

• resume/resume.github.com

  Resumes generated using the GitHub informations

  Language:JavaScript62k1.4k

• ultralytics/ultralytics

  Ultralytics YOLO11 🚀

  Language:Python33.4k6.4k

• qsh-zh/DiffFlow

  [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)

  Language:Python11713

• ermongroup/ddim

  Denoising Diffusion Implicit Models

  Language:Python1.5k211

• lewandofskee/DiAD

  Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.

  Language:Python14318

• AnilOsmanTur/conditioned_video_anomaly_diffusion

  Language:Python181

• AnilOsmanTur/video_anomaly_diffusion

  [ICIP 2023] Exploring Diffusion Models For Unsupervised Video Anomaly Detection

  Language:Python123

• y0ast/Glow-PyTorch

  Simple, extendable, easy to understand Glow implementation in PyTorch

  Language:Python37663

• janosh/awesome-normalizing-flows

  Awesome resources on normalizing flows.

  Language:Python1.4k125

• orhir/STG-NF

  Normalizing Flows for Human Pose Anomaly Detection [ICCV 2023]

  Language:Python7511

• fjchange/awesome-video-anomaly-detection

  Papers for Video Anomaly Detection, released codes collection, Performance Comparision.

  597102

• tea1528/Non-Local-NN-Pytorch

  PyTorch implementation of Non-Local Neural Networks (https://arxiv.org/pdf/1711.07971.pdf)

  Language:Python25059

• open-mmlab/mmaction2

  OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

  Language:Python4.3k1.3k

• jfzhang95/pytorch-video-recognition

  PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.

  Language:Python1.2k252

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML11.2k949

• talreiss/Accurate-Interpretable-VAD

  Attribute-based Representations for Accurate and Interpretable Video Anomaly Detection

  Language:Python9112

• xialeiliu/Awesome-Incremental-Learning

  Awesome Incremental Learning

  3.8k577

• ggjy/CMT.pytorch

  CMT Pytorch implementation of our CVPR 2022 paper CMT: Convolutional Neural Networks Meet Vision Transformers (https://arxiv.org/pdf/2107.06263.pdf).

  Language:Python9415

• microsoft/CvT

  This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

  Language:Python558121

• ristea/sspcab

  Language:Python15315

• ristea/ssmctb

  Language:Python46

• zhangyuxin621/AMSL

  Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection (AMSL) -open source

  Language:Python482

• jindongwang/transferlearning

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

  Language:Python13.5k3.8k

• Sara-Ahmed/SiT

  Self-supervised vIsion Transformer (SiT)

  Language:Python32449

• lucidrains/byol-pytorch

  Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

  Language:Python1.8k250

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python20.9k3.1k