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one-example-person-reid

Code for TIP2019 Progressive Learning for Person Re-Identification with One Example

open-reid

Open source person re-identification library in python

open_clip

An open source implementation of CLIP.

person-reid-lib

The pytorch-based lightweight library of the image-based and video-based person re-identification.

person-reid-triplet-loss

Person re-ID baseline with triplet loss

person-reid_gan

ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro

personretrieval-ivt

Code for ECCV 2022 Workshop paper "See Finer, See More: Implicit Modality Alignment for Text-based Person Retrieval"

pix2pix

Image-to-image translation with conditional adversarial nets

pix2pix-tensorflow

TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

pixel_sampling

planetoid

Semi-supervised learning with graph embeddings

pocketflow

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

prml

PRML algorithms implemented in Python

psm

pulse

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)

pytorch-cyclegan-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

pytorch-domain-adaptation

A collection of implementations of adversarial domain adaptation algorithms

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

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras

pytorch-tutorial

Build your neural network easy and fast

pytorchinsight

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

pytorchzerotoall

Simple PyTorch Tutorials Zero to ALL!

rcnn

R-CNN: Regions with Convolutional Neural Network Features

real-time-action-recognition

Real-time pose estimation and action recognition