Pinned Repositories
caffe
Caffe: a fast open framework for deep learning.
CNN-models-comparison
Comparison of famous convolutional neural network models
deep-ranking
Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same
deep-residual-networks
Deep Residual Learning for Image Recognition
DeepVisualization
fast-rcnn
Fast R-CNN
FCRN-DepthPrediction
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
GoogleImagesDownloader
Enlarge training dataset by searching images with specified keywords in google and download the presented images
imagenet-multiGPU.torch
an imagenet example in torch.
ImageNet_Utils
:arrow_double_down: Utils to help download images by id, crop bounding box, label images, etc.
LearnerInGithub's Repositories
LearnerInGithub/caffe
Caffe: a fast open framework for deep learning.
LearnerInGithub/CNN-models-comparison
Comparison of famous convolutional neural network models
LearnerInGithub/deep-ranking
Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same
LearnerInGithub/deep-residual-networks
Deep Residual Learning for Image Recognition
LearnerInGithub/DeepVisualization
LearnerInGithub/fast-rcnn
Fast R-CNN
LearnerInGithub/FCRN-DepthPrediction
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
LearnerInGithub/GoogleImagesDownloader
Enlarge training dataset by searching images with specified keywords in google and download the presented images
LearnerInGithub/imagenet-multiGPU.torch
an imagenet example in torch.
LearnerInGithub/ImageNet_Utils
:arrow_double_down: Utils to help download images by id, crop bounding box, label images, etc.
LearnerInGithub/keras-inceptionV4
Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)
LearnerInGithub/models
Models built with TensorFlow
LearnerInGithub/multi_label_image_classification
LearnerInGithub/pva-faster-rcnn
LearnerInGithub/py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
LearnerInGithub/py-faster-rcnn-resnet-imagenet
Faster RCNN with ResNet for ImageNet Detection
LearnerInGithub/R-FCN
R-FCN: Object Detection via Region-based Fully Convolutional Networks
LearnerInGithub/reading-text-in-the-wild
A Keras/Theano implementation of "Reading Text in the Wild with Convolutional Neural Networks" by M Jaderberg et.al.
LearnerInGithub/ResNet-Generator-for-caffe
A script for generating ResNet model which is proposed by MSRA in ImageNet 2015 (for Digits/Caffe)
LearnerInGithub/text-renderer
A clone from Max Jaderberg's Text Renderer
LearnerInGithub/textbox_proposals_fcrn
An implementation of the Fully Convolutional Recurrent Neural Network (FCRN) Framework in Keras as described by Ankush Gupta et. al in the paper "Synthetic Data for Text Localisation in Natural Images"
LearnerInGithub/XNOR-Net