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hhl

Generalizing A Person Retrieval Model Hetero- and Homogeneously ECCV 2018

howtocook

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese).

iclr2021-openreviewdata

Crawl & visualize ICLR papers and reviews.

ide-baseline-market-1501

ID-discriminative Embedding (IDE) for Person Re-identification

keras-frcnn

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

low-shot-shrink-hallucinate

Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

mixup

Implementation of the mixup training method

mscnn

ncl

Neighborhood Contrastive Learning for Novel Class Discovery, CVPR 2021

nn

open-reid

Open source person re-identification library in python

person-re-ranking

Person Re-ranking (CVPR 2017)

person_reid_baseline_pytorch

Pytorch implement of Person re-identification baseline. We arrived Rank@1=88.24%, mAP=70.68% only with softmax loss. Re-ranking is added.

py-faster-rcnn

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

py-r-fcn

R-FCN with joint training and python support

pytorch-cifar

95.04% on CIFAR10 with PyTorch

pytorch-classification

Classification with PyTorch.

pytorch-cnn-finetune

Fine-tune pretrained Convolutional Neural Networks with PyTorch

pytorch-generative-adversarial-networks

A very simple generative adversarial network (GAN) in PyTorch

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more

pytorchviz

A small package to create visualizations of PyTorch execution graphs

pytorchzerotoall

random-erasing

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

resnet-generator

Generate Caffe Prototxt for Deep Residual Learning Network

resnext

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks