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Name: DL
Type: User
Name: DL
Type: User
Caffe for Sparse and Low-rank Deep Neural Networks
Porting caffe to android platform
Data Augmentation for Caffe
CMake build scripts to automate building the Caffe library and its dependencies.
:heart::coffee: Deep Learning of Binary Hash Codes for Fast Image Retrieval (CVPRW15)
Supervised Semantics-preserving Deep Hashing (TPAMI17)
Implementation of Excitation Backprop in Caffe
faster rcnn c++ version. joint train; please checkout into dev branch (git checkout dev)
Generate a quantization parameter file for ncnn framework int8 inference
implementation of some layers in caffe
LSTM implementation on Caffe
Optimized (for size and speed) Caffe lib for iOS and Android with demo APP.
A caffe implementation of mobilenet's depthwise convolution layer.
Caffe implementation of ReLU6 Layer
Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks
The caffe version support Multi-Label
caffe pro
Caffe branch for R-FCN
Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling
This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.
speech recognition with the caffe deep learning framework
detection-developing
Caffe models in TensorFlow
Build scripts to compile caffe dependencies on Windows
Automatic Caffe parameter search via Spearmint Bayesian optimisation
YOLO (Real-Time Object Detection) in caffe
Caffe for YOLO
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