Not Suitable for Work (NSFW) classification using deep neural network Caffe models.

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Caffe models in TensorFlow

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some bugs

conversation of caffe vgg16 model to tensorflow

MNN applications by MNN, JNI exec, RK3399. Support tflite\tensorflow\caffe\onnx models.

Convert Caffe models to PyTorch

Pytorch model to caffe & ncnn

ImageNet pre-trained models with batch normalization for the Caffe framework

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

caffe pretrained models and prototxt

An android caffe demo app exploiting caffe pre-trained ImageNet model for image classification

Automatic image captioning model based on Caffe, using features from bottom-up attention.

Convert resnet trained in caffe to pytorch model. (group norm resnet is provided too)

Dropout As A Bayesian Approximation: Code

Collective 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):

caffe model convert to onnx model

Convert MXNet model to Caffe model

caffe model of ICCV'17 paper - ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression https://arxiv.org/abs/1707.06342

Convolutional neural network that does real-time emotion recognition. HappyNet detects faces in video and images, classifies the emotion on each face, then replaces each face with the correct emoji for that emotion. Based on Caffe and the "Emotions in the Wild" network available on Caffe model zoo.

Caffe models (imagenet pretrain) and prototxt generator scripts for inception_v3 \ inception_v4 \ inception_resnet \ fractalnet \ resnext

This project provide a single tensorflow model implement the mtcnn face detector. And it shows how to convert model from caffe to tensorflow in a hard way.

Run Caffe models in the browser using ConvNetJS

Convert a model from TensorFlow to Caffe.

Tool to compress trained caffe weights

Trained caffe models

tensorflow 2 caffe model

Inception-BN ImageNet (21K classes) model for Caffe

Transform the caffe model to pytorch model for Temporal Segment Network