A Java based user interface for managing Caffe based deep-learning experiments
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Updated
Sep 27, 2017 - Java
A Java based user interface for managing Caffe based deep-learning experiments
Deepdream approach to generate high-resolution visualizations of Convolutional Neural Networks.
Predict with Caffe models and save the result in a suitable format
progress of learning deep-learn
code complementing the article https://www.graphicon.ru/html/2017/papers/pp269-274.pdf
🤘 awesome-semantic-segmentation
Caffe implementation of LIP-SSL
Caffe implementation of Mobilenet-SSD face detector (NCS compatible)
A pytorch implementation of faster r-cnn, use caffe pretrained weight.
Old models from Caffe converted to PyTorch
Painting genre classifier
semseg using caffe to implement
Framework in python for training/validation of Caffe models
multi label caffe network with sigmoid cross entropy loss function
An open source iOS application that uses CoreML to classify images and send the results to a custom nodeJS backend
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