Image-ClassificationPre-trained VGG-Net Model for image classification using tensorflow
Stars: ✭ 29 (+107.14%)
Cnn ModelsImageNet pre-trained models with batch normalization for the Caffe framework
Stars: ✭ 355 (+2435.71%)
Php Opencvphp wrapper for opencv
Stars: ✭ 194 (+1285.71%)
Mtcnn caffeSimple implementation of kpzhang93's paper from Matlab to c++, and don't change models.
Stars: ✭ 244 (+1642.86%)
Snn toolboxToolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
Stars: ✭ 187 (+1235.71%)
Dgd person reidDomain Guided Dropout for Person Re-identification
Stars: ✭ 229 (+1535.71%)
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
Stars: ✭ 172 (+1128.57%)
Nnef ToolsThe NNEF Tools repository contains tools to generate and consume NNEF documents
Stars: ✭ 165 (+1078.57%)
SenetSqueeze-and-Excitation Networks
Stars: ✭ 2,850 (+20257.14%)
Liteflownet2A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020
Stars: ✭ 195 (+1292.86%)
caffe-conf-matrixPython layer for the Caffe deep learning framework to compute the accuracy and the confusion matrix.
Stars: ✭ 20 (+42.86%)
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 (+1271.43%)
ColorizationAutomatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
Stars: ✭ 2,791 (+19835.71%)
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.
Stars: ✭ 167 (+1092.86%)
RoundWidgetJava 实现的 Android 原生圆角矩形控件,圆角 FrameLayout 和圆角 ImageView
Stars: ✭ 86 (+514.29%)
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 (+1392.86%)
Sphereface PlusSphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.
Stars: ✭ 151 (+978.57%)
Turkce Yapay Zeka KaynaklariTürkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.
Stars: ✭ 1,900 (+13471.43%)
NetronVisualizer for neural network, deep learning, and machine learning models
Stars: ✭ 17,193 (+122707.14%)
Cnn face detectionImplementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR
Stars: ✭ 251 (+1692.86%)
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 (+164.29%)
Up Down CaptionerAutomatic image captioning model based on Caffe, using features from bottom-up attention.
Stars: ✭ 195 (+1292.86%)
CnnforandroidThe Convolutional Neural Network(CNN) for Android
Stars: ✭ 245 (+1650%)
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 (+1285.71%)
keras-flask-deploy-webapp😺 Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
Stars: ✭ 1,078 (+7600%)
DeepdetectDeep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
Stars: ✭ 2,306 (+16371.43%)
RetinafaceReimplement RetinaFace use C++ and TensorRT
Stars: ✭ 241 (+1621.43%)
Light Field Video Light field video applications (e.g. video refocusing, focus tracking, changing aperture and view)
Stars: ✭ 190 (+1257.14%)
tf-semantic-segmentation-FCN-VGG16Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF
Stars: ✭ 30 (+114.29%)
Caffe OneclickUse caffe to train your own data in just one click
Stars: ✭ 187 (+1235.71%)
SkimcaffeCaffe for Sparse Convolutional Neural Network
Stars: ✭ 230 (+1542.86%)
Hidden Two StreamCaffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"
Stars: ✭ 179 (+1178.57%)
Image2LMDBConvert image folder to lmdb, adapted from Efficient-PyTorch
Stars: ✭ 58 (+314.29%)
Senet CaffeA Caffe Re-Implementation of SENet
Stars: ✭ 169 (+1107.14%)
Caffe2 IosCaffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.
Stars: ✭ 221 (+1478.57%)
image-segmentationMask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available
Stars: ✭ 62 (+342.86%)
OrnOriented Response Networks, in CVPR 2017
Stars: ✭ 207 (+1378.57%)
Ncnnncnn is a high-performance neural network inference framework optimized for the mobile platform
Stars: ✭ 13,376 (+95442.86%)
Py Rfcn Privcode for py-R-FCN-multiGPU maintained by bupt-priv
Stars: ✭ 153 (+992.86%)
Brocollipytorch 2 caffe
Stars: ✭ 150 (+971.43%)
Caffe MobilenetA caffe implementation of mobilenet's depthwise convolution layer.
Stars: ✭ 146 (+942.86%)
Low Rank Bilinear PoolingFine-grained classification via second order statistics in a compact end-to-end trainable model
Stars: ✭ 145 (+935.71%)
tripletRe-implementation of tripletloss function in FaceNet
Stars: ✭ 94 (+571.43%)
score-zeroshotSemantically consistent regularizer for zero-shot learning
Stars: ✭ 65 (+364.29%)
caffe weight converterCaffe-to-Keras weight converter. Can also export weights as Numpy arrays for further processing.
Stars: ✭ 68 (+385.71%)
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.
Stars: ✭ 248 (+1671.43%)