zjuqiushi Goto Github PK

2019-fall-recruiting

a-pytorch-tutorial-to-image-captioning

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

ace-data-prep

ACE 2005 Corpus Preprocessing

adabound

An optimizer that trains as fast as Adam and as good as SGD.

arctic-captions

awesome-cbir-papers

📝Awesome and classical image retrieval papers

awesome-gan

A collection of AWESOME things about GAN

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

caffe-model

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

caffe-model-zoo

caffe pretrained models and prototxt

cascade-rcnn

Caffe implementation of multiple popular object detection frameworks

class-balanced-loss-pytorch

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

cnn-for-image-retrieval

:sunrise:The code of post "Image retrieval using MatconvNet and pre-trained imageNet"

compute-features

Computes features for images using various pretrained Tensorflow models

cornernet

cosface

Tensorflow implementation for paper CosFace: Large Margin Cosine Loss for Deep Face Recognition

cvpr2018-papers

cvpr20_lesa

darknet

darknet深度学习框架源码分析：详细中文注释，涵盖框架原理与实现语法分析

dcl

Destruction and Construction Learning for Fine-grained Image Recognition

deep-learning-image-similarity

Takes 2 images and says how similar they are based on Euclidean distance of feature vectors

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deepnlp-models-pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dlcv_for_beginners

《深度学习与计算机视觉》配套代码

dpsh-pytorch

A pytorch implementation for paper "Feature Learning based Deep Supervised Hashing with Pairwise Labels" with pytorch version

dsh_tensorflow

implemement of DEEP SUPERVISED HASHING FOR FAST IMAGE RETRIEVAL_CVPR2016

eco-efficient-video-understanding

Code and models of paper " ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018

facial-similarity-with-siamese-networks-in-pytorch

Implementing Siamese networks with a contrastive loss for similarity learning

faster-rcnn-resnet

ResNet Implementation for Faster-rcnn