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tinyloop's Projects
caffe-data-augmentation
a branc caffe with feature of Data Augmentation using a configurable stochastic combination of 7 data augmentation techniques.
caffe-deconvnet
modified version of caffe which support DeconvNet and DecoupledNet
caffe-deconvnet-1
A deconvolutional network in caffe
caffe-googlenet-bn
re-implementation of googlenet batch normalization
caffe-lowlevel
Project for paper "Learning Recursive Filters for Low-Level Vision via a Hybrid Neural Network", ECCV 2016
caffe-lstm
LSTM implementation on Caffe
caffe-mnist-hdf5
Data in HDF5 format
caffe-posenet
Implementation of PoseNet
caffe-segnet
Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling
caffe-segnet-cudnn5
This repository was a fork of BVLC/caffe and includes the upsample, bn and dense_image_data layer of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.
caffe-stn
Spatial Transformer Network Implementation in Caffe
caffe-vdsr
A Caffe-based implementation of very deep convolution network for image super-resolution
caffe-vs2013
vs2013 Project of Using Caffe in Windows
caffe-windows
Configure Caffe in one hour for Windows users.
caffe-windows-data-augmentation
Caffe Windows with realtime data augmentation
caffe-yolo
YOLO (Real-Time Object Detection) in caffe
caffe-yolo-1
Caffe for YOLO
caffe_ocr
主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构
caffe_torch_pytorch_converter
This is to convert caffe model to torch model and torch model to pytorch model
caffegraph
Load graphical Caffe networks in Torch
caffenet-benchmark
Evaluation of the CNN design choices performance on ImageNet-2012.
cam
Class Activation Mapping
caption-eval
Sentence/Caption evaluation using automated metrics
carc
Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval
catch2
A modern, C++-native, header-only, test framework for unit-tests, TDD and BDD - using C++11, C++14, C++17 and later (or C++03 on the Catch1.x branch)
ccnn
Framework for optimizing CNNs with linear constraints.
cdp
Code for our ECCV 2018 work.
channel-pruning
Channel Pruning for Accelerating Very Deep Neural Networks
char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
char-rnn-cn
基于char-rnn和tensorflow生成周杰伦歌词
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