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awesome-image-classification

A curated list of deep learning image classification papers and codes

awesome-person-re-identification

Awesome person re-identification

cnn-visual

implement OBJECT DETECTORS EMERGE IN DEEP SCENE CNNS

cs-294-131-trustworthy-deep-learning

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

dcgan-reid-pytorch

Using DCGAN to enhance Person-Reid's dataset

dcgan.torch

A torch implementation of http://arxiv.org/abs/1511.06434

fd-gan

Pytorch implementation of feature distilling GAN for person reID. (NeurIPS18)

gandissect

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

hello-world

hello world

leetcode

leetcode_python

netdissect-lite

Light version of Network Dissection for Quantifying Interpretability of Networks

person-re-identification

Person re-identification, a tool used in intelligent video surveillance, is the task of correctly identifying individuals across multiple images captured under varied scenarios from multiple cameras. Solving this problem is inherently a challenging one because of the issues posed to it by low resolution images, illumination changes per image, unconstrained pose and occlusions.

person_generation_spt

PyTorch Implementation for Unsupervised Person Image Generation with Semantic Parsing Transformation

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

quick-netdissect

Lightweight reimplementation of netdissect for pytorch (under development)

simulated-unsupervised-tensorflow

TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"

tensorpack

A Neural Net Training Interface on TensorFlow

the-gan-zoo

A list of all named GANs!

trackr-cnn

TrackR-CNN baseline method for Multi-Object Tracking and Segmentation (MOTS)

train_cnn-rnn-attention

cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU)+attention, inception_v4+rnn(LSTM, GRU)+attention, inception_resnet_v2+rnn(LSTM, GRU)+attention,.....