Caffe is a deep learning framework, install and setup notes to get Caffe, then ImageNet running.
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Updated
Apr 14, 2017
Caffe is a deep learning framework, install and setup notes to get Caffe, then ImageNet running.
Friendly Caffe Framework Friends(FCFF)
Java based source-to-source compiler that converts Deep Neural Network model from Caffe Prototxt to TensorFlow. It is heavily inspired by apcahe/incubator-mxnet.
Latte is a convolutional neural network (CNN) inference engine written in C++ and uses AVX to vectorize operations. The engine runs on Windows 10, Linux and macOS Sierra.
Traffic Light detection with matlab and caffe
Face detection, and recognition using MTCNN,FACENET, HAAR CASCADES and CAFFE MODELS
Deploy Neural network visualizer and analyzer locally on local linux
Image viewer with Computer Vision and Deep Learning: MILLA. A Qt5-based image viewer provides extended functionality for image search, matching, tagging and classification. Rich plugins API makes it possible to run an entire virtual machine inside the viewer.
Repository for studying Caffe deep learning framework.
Scripts for iterative training with multiple models and datasets using Caffe framework.
A python application with a GUI which uses a caffe model to colorize black and white images.
Run GPU caffe workloads in a container with nvidia-docker
Calculates the complexity of a caffe network
Caffe's environment installation steps for Ubuntu 16.04 Nvidia GeForce 1060 3GB
These are just a few bash and python scripts specific to the Tenn Tech High Performance Computing Server for usage with Caffe
Real-time Embedded Deep Learning for Autonomous Lane Change Systems of Autonomous Driving
How to build Caffe on Compute Canada servers. (Beluga and Cedar)
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