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alignedreid

Alignedreid＋+: Dynamically Matching Local Information for Person Re-Identification.

anime4k

A High-Quality Real Time Upscaler for Anime Video

ap3d

Pytorch implementation of "Appearance-Preserving 3D Convolution for Video-based Person Re-identification"

awesome_video_person_reid

papers collection and understanding for video person re-identification

cap-master

The official implementation for paper "Camera-aware Proxies for Unsupervised Person Re-Identification".

cdtrans

[ICLR2022] CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation

classifier-free-diffusion-guidance-pytorch

a simple unofficial implementation of classifier-free diffusion guidance

cluster-contrast-reid

d-mmd

ddpm

PyTorch DDPM implementation

deap-eeg-emotion-analyse-and-classify

Simply emotion analyse and classify using EEG data based on DEAP dataset, using python and sklearn(SVM,KNN,Tree). 简单的EEG脑电数据情感分析，使用python和DEAP数据集。

deep-person-reid-baseline

Pytorch implementation of deep person re-identification models.

deep3dfacerecon_pytorch

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019). A PyTorch implementation.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

denoisingdiffusionprobabilitymodel-ddpm-

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

dg-net

Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral)

diffusion-models-pytorch

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

disco-diffusion

domainadaptivereid

doubanspider

seriers spiders for douban.com

eanet

EANet: Enhancing Alignment for Cross-Domain Person Re-identification

eeg-based-emotion-analysis-using-deap-dataset-for-supervised-machine-learning

This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.

eeg-conformer

EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.

eegwavenet

source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Industrial Informatics)

eos

A lightweight 3D Morphable Face Model library in modern C++

freelb

Adversarial Training for Natural Language Understanding

gcn_clustering

Code for CVPR'19 paper Linkage-based Face Clustering via GCN

gzhu-report-latex-version

我自己制作的广州大学Latex报告模板，有毕业设计，课程设计，毕业论文，等等🎈

hhcl-reid

Hard-sample Guided Hybrid Contrast Learning for Unsupervised Person Re-Identification