Linranran's repositories
MatConvNet-oneclick
Use MatConvNet to train your own data
region-ensemble-network
Repository for Region Ensemble Network based Hand Pose Estimation
FCN-semantic-segmentation
Fully convolutional networks for semantic segmentation
DukeMTMC-reID_evaluation
The Person re-ID Evaluation Code for DukeMTMC-reID Dataset (Including Dataset Download)
Identifying-Clothing-Attributes
Finetuning VGG-16 network
keras-cn
Chinese keras documents with more examples, explanations and tips.
3DCNN
3D convolutional neural network for video classification
SCT4DukeMTMC
Single camera tracker for DukeMTMC dataset
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
open-reid
Open source person re-identification library in python
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
2016_person_re-ID
A Discriminatively Learned CNN Embedding for Person Re-identification
pretrained-models.pytorch
Pretrained ConvNets for pytorch: ResNeXt101, ResNet152, InceptionV4, etc.
towards-reid-tracking
Code for the paper "Towards a Principled Integration of Multi-Camera Re-Identification and Tracking through Optimal Bayes Filters"
pytorch-cifar
95.04% on CIFAR10 with PyTorch
person_search
Joint Detection and Identification Feature Learning for Person Search
PRW-baseline
This repository provides the baseline codes for the PRW (Person Re-identification in the Wild) dataset.
bigBatch
Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training of neural networks"
pytorch-playground
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
VIBE
Visual Background Extractor
PoseBox-Reid
A two-stream Re-id CNN network
tensorflow-zh
谷歌全新开源人工智能系统TensorFlow官方文档中文版