aihgf / awesome-caffe

Awesome Caffe

Awesome Caffe

This page contains a curated list of awesome Caffe examples, tutorials and blogs. It is inspired by awesome-php and awesome-machine-learning.

Contributing

If you want to contribute to this list and the examples, please open a new pull request, or send e-mails to ([email protected]).

Table of Contents

• 1. Tutorials
• 2. Vision
• 3. NLP
• 4. Speech
• 5. Tools

============================================================================================================

1. Tutorials

• DIY Deep Learning for Vision with Caffe
• Tutorial Documentation
• Tutorial Documentation (Simplified Chinese)

2. Vision

2.1 Image Classification

• Deep Residual Networks
• Highway Networks
• Deep-Compression-AlexNet
• SqueezeNet
• GoogleNet-V2

2.2 Object Detection

• R-FCN
• SSD: Single Shot MultiBox Detector
• YOLO in caffe
• DeepBox
• Faster R-CNN
• Fast R-CNN

2.3 Image Segmentation

• CRF-RNN
• SegNet
• DeconvNet: Learning Deconvolution Network for Semantic Segmentation
• Fully Convolutional Networks for Semantic Segmentation

2.4 Face Detection / Recognition / Verification

• Center Loss
• MTCNN_face_detection_alignment
• VGG-Face
• TripletLoss(FaceNet)

2.5 Action Recognition

• C3D
• TDD
• LRCN

2.6 Object Tracking

• FCNT

2.7 Scene Classification

• Places CNN

2.8 Images Generation

• cnn-vis

2.9 Self-driving

• DeepDrive

3. NLP

• NLP-Caffe
• Sentiment Analysis

4. Speech

• Speech Recognition
• Kaldi

5. Tools

5.1 Converter

• caffe-tensorflow
• caffe-theano-conversion

5.2 LabelImg

• LabelImg
• BBox-Label-Tool

5.3 Visualization

• deep-visualization-toolbox
• DeepDraw

5.4 Mobile Platform

• caffe-android-lib
• caffe-ios

5.5 Intel and AMD

• Intel® Xeon Phi™
• OpenCL-caffe

5.6 Distributed computing

• SparkNet
• CaffeOnSpark
• petuum/bosen

5.7 Net Builder

• pynetbuilder