MichaelXin / 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 think I have missed out on something (or) have any suggestions (papers, implementations and other resources), feel free to pull a request

Feedback and contributions are welcome!

Table of Contents

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

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Books

• Deep Learning - Ian Goodfellow and Yoshua Bengio and Aaron Courville
• Deep Learning (Simplified Chinese)

1. Tutorials

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

2. Vision

2.1 Image Classification

• ResNet-v3
• denseNet
• Deep Residual Networks
• Highway Networks
• Deep-Compression-AlexNet
• SqueezeNet
• GoogleNet-V2
• Oriented Response Networks

2.2 Object Detection

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

2.3 Image Segmentation

• Mask R-CNN
• DeepLab
• 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)
• dockerface - Easy to install and use deep learning Faster R-CNN face detection for images and video in a docker container.

2.5 Action Recognition

• UntrimmedNets
• C3D (a recent version of Caffe)
• TDD
• LRCN

2.6 Object Tracking

• FCNT

2.7 Scene Classification

• Places CNN

2.8 Image Super-resolution

• SRCNN

2.9 Images Generation

• cnn-vis
• style-transfer
• Colorful Image Colorization
• Coupled Face Generation

2.10 Self-driving

• DeepDrive
• Berkeley DeepDrive
• Princeton deepdriving

2.11 Reinforcement Learning

• DRQN
• DQN

2.12 Image Generation

• VAE

3. NLP

• NLP-Caffe
• Sentiment Analysis

4. Speech

• Speech Recognition
• Kaldi

5. Building Blocks

5.1 Initialization

• k-means initialization
• LSUV

5.2 Activation Function

TODO

6. Tools

6.1 Converter

• caffe-tensorflow
• caffe-theano-conversion
• CaffeToKeras

6.2 Labeling

• labelme
• LabelImg
• BBox-Label-Tool
• FastAnnotationTool

6.3 Data Augmentation

• Augmentor

6.4 Parameter Search

• Spearmint

6.5 Visualization

• netron
• deep-visualization-toolbox
• DeepDraw

6.6 Mobile Platform

• ncnn
• ShuffleNet
• caffe-android-lib
• caffe-ios
• windows

6.7 Intel and AMD

• hipCaffe-AMD’s Radeon Instinct GPUs
• Intel® Xeon Phi™
• OpenCL-caffe
• SkimCaffe

6.8 Parallel and Distributed computing

• A multi-GPU and memory-reduced MAT-Caffe
• SparkNet
• CaffeOnSpark
• petuum/bosen

6.9 Net Builder

• pynetbuilder