Pinned Repositories
adv_attack_capsnet
Tensorflow Implementation of Adversarial Attack to Capsule Networks
algorithms_and_data_structures
160+ Algorithm & Data Structure Problems using C++
AlphaPose
上交提出的,比mask RCNN好
Amazon-Kaggle
Analytics_Vidhya
Codes related to activities on AV including articles, hackathons and discussions.
Augmentor
Image augmentation library in Python for machine learning.
Docker_Tutorial
dog_breed
kaggle dog-breed-identification 比赛,这家伙居然自己自定义模型,他的代码有必要看一下
machine_learning_zoubo
代码及pdf
pycaffe_tutorial
Tutorial for pycaffe, the Python API to the Neural Network framework, Caffe
wEEang763162's Repositories
wEEang763162/adv_attack_capsnet
Tensorflow Implementation of Adversarial Attack to Capsule Networks
wEEang763162/Amazon-Kaggle
wEEang763162/Analytics_Vidhya
Codes related to activities on AV including articles, hackathons and discussions.
wEEang763162/Awesome-MXNet
A curated list of MXNet examples, tutorials and blogs.
wEEang763162/baiduyun_deeplearning_competition
百度云魅族深度学习应用大赛
wEEang763162/caffe
Caffe: a fast open framework for deep learning.
wEEang763162/caffe-segnet
Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling
wEEang763162/CapsNet-Keras
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error < 0.4%. --郭西风
wEEang763162/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning.各种卷积方式可参考 ,挑一个或者几个,结合起来,只要参数量少,实验效果好,就可以发 (Shui) 论文。
wEEang763162/D-CNN
Depth CNNs for RGB-D Scene Recognition: Learning From Scratch Better Than Transferring From RGB-CNNs
wEEang763162/Depth-Estimation
Master's thesis
wEEang763162/depth-semantic-fully-conv
PyTorch Implementation for CS231N Course Project - "Fully Convolutional Network for Depth Estimation and Semantic Segmentation"
wEEang763162/Depth_in_The_Wild
Pytorch implementation of Single-Image Depth Perception in the Wild https://arxiv.org/pdf/1604.03901.pdf
wEEang763162/Estimated-Depth-Map-Helps-Image-Classification
Depth estimation with neural network, and learning on RGBD images
wEEang763162/faster_rcnn_pytorch
Faster RCNN with PyTorch
wEEang763162/FastMaskRCNN
Mask RCNN in TensorFlow
wEEang763162/fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
wEEang763162/FCN.tensorflow
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
wEEang763162/GibbsLDApy
A python type of GibbsLDA++
wEEang763162/gluon-tutorials-zh
通过MXNet/Gluon来动手学习深度学习
wEEang763162/JData
京东JData算法大赛-高潜用户购买意向预测入门程序(starter code)
wEEang763162/monodepth_chainer
Unsupervised Monocular Depth Estimation with Left-Right Consistency by chainer
wEEang763162/mx-maskrcnn
An MXNet implementation of Mask R-CNN
wEEang763162/ProfXkit
Professor X Toolkit (previously known as the Princeton Vision and Robotics Toolkit)pixel level的标注工具,如果是你们自己内部标定的话,可以从这个library改改:
wEEang763162/RAM
"Recurrent Models of Visual Attention" in TensorFlow(网络架构与另一篇论文可以说一模一样,请移步Deep Reinforcement Learning for Visual Object Tracking in Videos )论文解读:
wEEang763162/relative-depth-using-pytorch
Depth from a single RGB image using crowd-sourcing relative-depth datasets. The pytorch implementation of the NIPS paper: Single-Image Depth Perception in the Wild.
wEEang763162/siamfc-tf
State-of-the-art object tracking at high framerates, in TensorFlow.目标跟踪,virtualenv安装指导
wEEang763162/state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
wEEang763162/Tensorflow-with-own-data
CNN classification with Tensorflow, make .pkl files from pictures and read it
wEEang763162/Unsupervised_Depth_Estimation
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue