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opencv-machine-learning

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

openmvg

open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

paretomtl

Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning

plotneuralnet

Latex code for making neural networks diagrams

poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

popsift

PopSift is an implementation of the SIFT algorithm in CUDA.

pq-fast-scan

PQ Fast Scan

practicalai-cn

AI实战-practicalAI 中文版

pyretri

Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥

pyswarms

A research toolkit for particle swarm optimization in Python

python_data_analysis_and_mining_action

《python数据分析与挖掘实战》的代码笔记

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-cnn-finetune

Fine-tune pretrained Convolutional Neural Networks with PyTorch

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

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-image-retrieval

A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (ICCV 2017).

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

reading-list

Reading list on deep learning

rerankingtransformer

[ICCV 2021] Instance-level Image Retrieval using Reranking Transformers

residual_adapters

residualattentionnetwork-pytorch

a pytorch code about Residual Attention Network. This code is based on two projects from

retinanet

RetinaNet for Object Detection in TensorFlow2 and Applications

retrieval-2016-deepvision

Faster R-CNN features for Instance Search

retrieval-2017-cam

Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)

retrieval-regionalattention

Code for 'Regional Attention Based Deep Feature for Image Retrieval (BMVC 2018)' https://sglab.kaist.ac.kr/RegionalAttention/

revisiting_deep_metric_learning_pytorch

(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.

san

Exploring Self-attention for Image Recognition, CVPR2020.

sdc-il

Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)