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rcnn

R-CNN: Regions with Convolutional Neural Network Features

recurrent-attention-cnn

resnet-protofiles

Caffe Protofiles for MSRA ResNet: train prototxt

rnn

Recurrent Neural Network library for Torch7's nn

rnn-tutorial-rnnlm

Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

roi-pooling

rolo

ROLO is short for Recurrent YOLO, aimed at simultaneous object detection and tracking

rpnplus

RPN+(Tensorflow) for people detection

rrpn

Source code of RRPN ---- Arbitrary-Oriented Scene Text Detection via Rotation Proposals

rrpn_fpn_tensorflow

scnn

Segment-CNN: A Framework for Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs

simpleitk-notebooks

Jupyter notebooks for learning how to use SimpleITK

sparseconvnet

Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.

spatialtransformerlayer

spindlenet

spp_net

SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

sru

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

stanford_dl_cnn

Stanford dl excercise

tdd

Trajectory-pooled Deep-Convolutional Descriptors

technical_book_dl

This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent.

temporal-segment-networks

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

tf_deformable_ops

Tensorflow implementation of deformable conv and pooling operations.

tmarker

TMARKER is a software for cancer cell nucleus detection, segmentation, counting, and classification.

torch-lrcn

An implementation of the LRCN in Torch

torch-video-tutorials

Light your way in Deep Learning with Torch 🔦

torch7

http://torch.ch

tracking-with-darkflow

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

trafficsign_lightdetection

implement the traffic sign detection

transfer_ijcv

This is the release code and model for submission of Transferring Object-Scene Convolutional Neural Networks for Event Recognition in Still Images

triplet-reid

Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.