DeepdetectDeep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
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Senet CaffeA Caffe Re-Implementation of SENet
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Caffe2 IosCaffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.
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Up Down CaptionerAutomatic image captioning model based on Caffe, using features from bottom-up attention.
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Brocollipytorch 2 caffe
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RetinafaceReimplement RetinaFace use C++ and TensorRT
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Caffe OneclickUse caffe to train your own data in just one click
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caffe-conf-matrixPython layer for the Caffe deep learning framework to compute the accuracy and the confusion matrix.
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Low Rank Bilinear PoolingFine-grained classification via second order statistics in a compact end-to-end trainable model
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CnnforandroidThe Convolutional Neural Network(CNN) for Android
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PixelnetThe repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.
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caffe weight converterCaffe-to-Keras weight converter. Can also export weights as Numpy arrays for further processing.
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Light Field Video Light field video applications (e.g. video refocusing, focus tracking, changing aperture and view)
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SkimcaffeCaffe for Sparse Convolutional Neural Network
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Hidden Two StreamCaffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"
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Caffe Yolov3 WindowsA windows caffe implementation of YOLO detection network
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Py Rfcn Privcode for py-R-FCN-multiGPU maintained by bupt-priv
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Mobilenet SsdCaffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
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SenetSqueeze-and-Excitation Networks
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score-zeroshotSemantically consistent regularizer for zero-shot learning
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Liteflownet2A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020
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Mtcnn caffeSimple implementation of kpzhang93's paper from Matlab to c++, and don't change models.
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Php Opencvphp wrapper for opencv
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Ck CaffeCollective Knowledge workflow for Caffe to automate installation across diverse platforms and to collaboratively evaluate and optimize Caffe-based workloads across diverse hardware, software and data sets (compilers, libraries, tools, models, inputs):
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ColorizationAutomatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
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Snn toolboxToolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
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mbus基于RabbitMQ简单实现验证码识别平台,训练网络模型智能识别图形验证码
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Dgd person reidDomain Guided Dropout for Person Re-identification
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Video CaffeVideo-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video reader, 3D(ND) pooling layer, and an example training script for C3D network and UCF-101 data
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caffe-simnetsThe SimNets Architecture's Implementation in Caffe
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Caffe Segnet Cudnn5This 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.
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Nnef ToolsThe NNEF Tools repository contains tools to generate and consume NNEF documents
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Dl inference通用深度学习推理服务,可在生产环境中快速上线由TensorFlow、PyTorch、Caffe框架训练出的深度学习模型。
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Sphereface PlusSphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.
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tripletRe-implementation of tripletloss function in FaceNet
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Turkce Yapay Zeka KaynaklariTürkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.
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OrnOriented Response Networks, in CVPR 2017
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Ncnnncnn is a high-performance neural network inference framework optimized for the mobile platform
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Change Detection ReviewA review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
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DsrgWeakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).
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caffe-static在caffe应用到工程实现时,为了方便系统安装,需要尽可能减少软件的依赖库。 本项目以bash shell/PowerShell脚本实现将caffe依赖的所有第三方库与caffe静态编译一起,以满足全静态编译的要求。 通过本项目提供的脚本生成的caffe编译环境不需要在系统安装任何第三方库和软件,就可以自动完成caffe项目静态编译. 目前在centos6.5/ubuntu16/win7/win10上测试通过,windows上VS2013,VS2015,MinGW 5.2.0编译通过
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iAI🎯 保姆级深度学习从入门到放弃 🤪 🤪
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Image2LMDBConvert image folder to lmdb, adapted from Efficient-PyTorch
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Cnn face detectionImplementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR
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NetronVisualizer for neural network, deep learning, and machine learning models
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