Ermin_Gong's repositories
Adafruit_SSD1306
SSD1306 oled driver library for 'monochrome' 128x64 and 128x32 OLEDs!
DeepBench
Benchmarking Deep Learning operations on different hardware
caffe-yolo
YOLO (Real-Time Object Detection) in caffe
ConvNet
Convolutional Neural Networks for Matlab for classification and segmentation, including Invariang Backpropagation (IBP) and Adversarial Training (AT) algorithms. Trained on GPU, require cuDNN v5.
fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
YOLOKit
Getting square objects down round holes
R-FCN
R-FCN: Object Detection via Region-based Fully Convolutional Networks
DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
DeepLearningBook
MIT Deep Learning Book in PDF format
py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
faster_rcnn
Faster R-CNN
dl_tutorials
Deep learning tutorials (2nd ed.)
cudnn-training
A CUDNN minimal deep learning training code sample using LeNet.
SPP_net
SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
saliency-2016-cvpr
Shallow and Deep Convolutional Networks for Saliency Prediction
yololib
dylib injector for mach-o binaries
rnnlib
RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/
fast-rcnn
Fast R-CNN
CDBN
Convolutional Deep Belief Networks with 'MATLAB','MEX','CUDA' versions
torch-residual-networks
This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.
stanford_dl_ex
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
convnet-1
A GPU implementation of Convolutional Neural Nets in C++
rcnn
R-CNN: Regions with Convolutional Neural Network Features
matconvnet-fcn
A MatConvNet-based implementation of the Fully-Convolutional Networks for image segmentation
fastdropout
code for fast dropout
practical-object-category-recognition
A VGG practical on object category recognition.
UFLDL-tutorial
Deep Learning and Unsupervised Feature Learning Tutorial Solutions
Depth-Fields
Code/Data for our 3DV 2015 paper: "Depth Fields: Extending Light Field Techniques to Time-of-Flight Imaging"
fatcache
Memcache on SSD