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arctic-captions

caffe

Caffe: a fast open framework for deep learning.

caffe-fast-rcnn

Caffe fork that supports Fast R-CNN

caffe-windows

Configure Caffe in one hour for Windows users.

coco-text

COCO-Text API http://vision.cornell.edu/se3/coco-text/

convnet-benchmarks

Easy benchmarking of all public open-source implementations of convnets

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

crowdcv

Crowdsourced Computer Vision Experiment

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

deform-conv

Deformable Convolution in TensorFlow / Keras

dilation

Dilated Convolution for Semantic Image Segmentation

fast-rcnn

Fast R-CNN

faster-rcnn.torch

Experimental Torch7 implementation of RCNN for Object Detection with a Region Proposal Network

faster_rcnn

Faster R-CNN

fastext

Efficient Unconstrained Scene Text Detector

fastmask

FastMask: Segment Multi-scale Object Candidates in One Shot

gop

geodesic object proposal

grid-lstm

Torch7 implementation of Grid LSTM as described here: http://arxiv.org/pdf/1507.01526v2.pdf

hed

code for Holistically-Nested Edge Detection

histogramloss

This repository contains code for paper "Learning Deep Embeddings with Histogram Loss" (NIPS2016)

imagenet-training

ImageNet training using torch

images-web-crawler

This package is a complete tool for creating a large dataset of images (specially designed -but not only- for machine learning enthusiasts). It can crawl the web, download images, rename / resize / covert the images and merge folders..

imagine-nn

IMAGINE torch neural network routines

learning_to_execute

Learning to Execute

mnc

Instance-aware Semantic Segmentation via Multi-task Network Cascades

mrpt_navigation

ROS nodes wrapping MRPT functionality: localization, rawlogs, etc.

mscnn

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

nn

ohem

OHEM support for Fast R-CNN