Mobilenet CaffeCaffe Implementation of Google's MobileNets (v1 and v2)
Stars: ✭ 1,217 (+2604.44%)
Caffenet BenchmarkEvaluation of the CNN design choices performance on ImageNet-2012.
Stars: ✭ 700 (+1455.56%)
Densenet CaffeDenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet
Stars: ✭ 350 (+677.78%)
Php Opencv ExamplesTutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)
Stars: ✭ 333 (+640%)
Cnn ModelsImageNet pre-trained models with batch normalization for the Caffe framework
Stars: ✭ 355 (+688.89%)
Caffe ModelCaffe models (including classification, detection and segmentation) and deploy files for famouse networks
Stars: ✭ 1,258 (+2695.56%)
Senet CaffeA Caffe Re-Implementation of SENet
Stars: ✭ 169 (+275.56%)
ColorizationAutomatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
Stars: ✭ 2,791 (+6102.22%)
cozmo-tensorflow🤖 Cozmo the Robot recognizes objects with TensorFlow
Stars: ✭ 61 (+35.56%)
Mtcnn caffeSimple implementation of kpzhang93's paper from Matlab to c++, and don't change models.
Stars: ✭ 244 (+442.22%)
Image2LMDBConvert image folder to lmdb, adapted from Efficient-PyTorch
Stars: ✭ 58 (+28.89%)
Dgd person reidDomain Guided Dropout for Person Re-identification
Stars: ✭ 229 (+408.89%)
iAI🎯 保姆级深度学习从入门到放弃 🤪 🤪
Stars: ✭ 432 (+860%)
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。
Stars: ✭ 209 (+364.44%)
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
Stars: ✭ 37 (-17.78%)
OrnOriented Response Networks, in CVPR 2017
Stars: ✭ 207 (+360%)
DsrgWeakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).
Stars: ✭ 206 (+357.78%)
cisip-FIReFast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.
Stars: ✭ 40 (-11.11%)
head-network-distillation[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"
Stars: ✭ 27 (-40%)
alexnetcustom implementation alexnet with tensorflow
Stars: ✭ 21 (-53.33%)
Liteflownet2A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020
Stars: ✭ 195 (+333.33%)
CnnforandroidThe Convolutional Neural Network(CNN) for Android
Stars: ✭ 245 (+444.44%)
BAKESelf-distillation with Batch Knowledge Ensembling Improves ImageNet Classification
Stars: ✭ 79 (+75.56%)
RetinafaceReimplement RetinaFace use C++ and TensorRT
Stars: ✭ 241 (+435.56%)
caffe-simnetsThe SimNets Architecture's Implementation in Caffe
Stars: ✭ 13 (-71.11%)
SkimcaffeCaffe for Sparse Convolutional Neural Network
Stars: ✭ 230 (+411.11%)
score-zeroshotSemantically consistent regularizer for zero-shot learning
Stars: ✭ 65 (+44.44%)
Caffe2 IosCaffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.
Stars: ✭ 221 (+391.11%)
PSPNet-PytorchImplemetation of Pyramid Scene Parsing Network in Pytorch
Stars: ✭ 26 (-42.22%)
Caffe Yolov3 WindowsA windows caffe implementation of YOLO detection network
Stars: ✭ 210 (+366.67%)
caffe weight converterCaffe-to-Keras weight converter. Can also export weights as Numpy arrays for further processing.
Stars: ✭ 68 (+51.11%)
caffe-conf-matrixPython layer for the Caffe deep learning framework to compute the accuracy and the confusion matrix.
Stars: ✭ 20 (-55.56%)
NetronVisualizer for neural network, deep learning, and machine learning models
Stars: ✭ 17,193 (+38106.67%)
XNOR-NetXNOR-Net, CUDNN5 supported version of XNOR-Net-caffe: https://github.com/loswensiana/BWN-XNOR-caffe
Stars: ✭ 30 (-33.33%)
Up Down CaptionerAutomatic image captioning model based on Caffe, using features from bottom-up attention.
Stars: ✭ 195 (+333.33%)
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/>.
Stars: ✭ 194 (+331.11%)
nested-transformerNested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf
Stars: ✭ 174 (+286.67%)
Php Opencvphp wrapper for opencv
Stars: ✭ 194 (+331.11%)
DeepdetectDeep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
Stars: ✭ 2,306 (+5024.44%)
caffe srganA Caffe Implementation of SRGAN
Stars: ✭ 59 (+31.11%)
tripletRe-implementation of tripletloss function in FaceNet
Stars: ✭ 94 (+108.89%)
EffcientNetV2EfficientNetV2 implementation using PyTorch
Stars: ✭ 94 (+108.89%)
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):
Stars: ✭ 192 (+326.67%)
Light Field Video Light field video applications (e.g. video refocusing, focus tracking, changing aperture and view)
Stars: ✭ 190 (+322.22%)
Snn toolboxToolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
Stars: ✭ 187 (+315.56%)
Caffe OneclickUse caffe to train your own data in just one click
Stars: ✭ 187 (+315.56%)
TokenLabelingPytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"
Stars: ✭ 385 (+755.56%)