{"id":13444486,"url":"https://github.com/MichaelXin/Awesome-Caffe","last_synced_at":"2025-03-20T18:32:59.976Z","repository":{"id":92794588,"uuid":"68768898","full_name":"MichaelXin/Awesome-Caffe","owner":"MichaelXin","description":"Awesome Caffe","archived":false,"fork":false,"pushed_at":"2019-09-05T06:12:18.000Z","size":52,"stargazers_count":220,"open_issues_count":0,"forks_count":89,"subscribers_count":25,"default_branch":"master","last_synced_at":"2024-05-22T04:00:44.307Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc0-1.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/MichaelXin.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"contributing.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2016-09-21T01:46:31.000Z","updated_at":"2023-08-06T23:08:27.000Z","dependencies_parsed_at":"2023-03-13T17:25:09.249Z","dependency_job_id":null,"html_url":"https://github.com/MichaelXin/Awesome-Caffe","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MichaelXin%2FAwesome-Caffe","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MichaelXin%2FAwesome-Caffe/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MichaelXin%2FAwesome-Caffe/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MichaelXin%2FAwesome-Caffe/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MichaelXin","download_url":"https://codeload.github.com/MichaelXin/Awesome-Caffe/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":221792892,"owners_count":16881289,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-07-31T04:00:24.973Z","updated_at":"2024-10-28T06:31:09.551Z","avatar_url":"https://github.com/MichaelXin.png","language":null,"funding_links":[],"categories":["Uncategorized","Other Lists"],"sub_categories":["Uncategorized","TeX Lists"],"readme":"# Awesome Caffe  [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/jtoy/awesome)\n\nThis page contains a curated list of awesome Caffe examples, tutorials and blogs. It is inspired by awesome-php and awesome-machine-learning.\n\n## \u003ca name=\"Contributing\"\u003e\u003c/a\u003eContributing\n\nIf you think I have missed out on something (or) have any suggestions (papers, implementations and other resources), feel free to pull a request\n\nFeedback and contributions are welcome!\n\n## Table of Contents\n- [1. Tutorials](#Tutorials)\n- [2. Vision](#Vision)\n- [3. NLP](#NLP)\n- [4. Speech](#Speech)\n- [5. Building Blocks](#Building)\n- [6. Tools](#Tools)\n\n============================================================================================================\n## \u003ca name=\"Books\"\u003e\u003c/a\u003eBooks\n- [Deep Learning - Ian Goodfellow and Yoshua Bengio and Aaron Courville](http://www.deeplearningbook.org/)\n- [Deep Learning (Simplified Chinese)](https://github.com/exacity/deeplearningbook-chinese)\n\n\n## \u003ca name=\"Tutorials\"\u003e\u003c/a\u003e1. Tutorials\n- [DIY Deep Learning for Vision with Caffe](https://docs.google.com/presentation/d/1UeKXVgRvvxg9OUdh_UiC5G71UMscNPlvArsWER41PsU/edit#slide=id.p)\n- [Tutorial Documentation](http://caffe.berkeleyvision.org/tutorial/)\n- [Tutorial Documentation (Simplified Chinese)](http://caffecn.cn/?/page/tutorial)\n\n\n## \u003ca name=\"Vision\"\u003e\u003c/a\u003e2. Vision\n\u003e\u003e ### 2.1 Image Classification\n\u003e\u003e - [ResNet-v3](https://github.com/terrychenism/ResNeXt)\n\u003e\u003e - [denseNet](https://github.com/liuzhuang13/DenseNet)\n\u003e\u003e - [Deep Residual Networks](https://github.com/KaimingHe/deep-residual-networks)\n\u003e\u003e - [Highway Networks](https://github.com/flukeskywalker/highway-networks)\n\u003e\u003e - [Deep-Compression-AlexNet](https://github.com/songhan/Deep-Compression-AlexNet)\n\u003e\u003e - [SqueezeNet](https://github.com/DeepScale/SqueezeNet)\n\u003e\u003e - [GoogleNet-V2](https://github.com/lim0606/caffe-googlenet-bn)\n\u003e\u003e - [Oriented Response Networks](https://github.com/ZhouYanzhao/ORN)\n\n\u003e\u003e ### 2.2 Object Detection\n\u003e\u003e - [PVANet](https://github.com/sanghoon/pva-faster-rcnn)\n\u003e\u003e - [R-FCN](https://github.com/Orpine/py-R-FCN)\n\u003e\u003e - [SSD: Single Shot MultiBox Detector](https://github.com/weiliu89/caffe/tree/ssd)\n\u003e\u003e - [YOLO in caffe](https://github.com/xingwangsfu/caffe-yolo)\n\u003e\u003e - [DeepBox](https://github.com/weichengkuo/DeepBox)\n\u003e\u003e - [Faster R-CNN](https://github.com/rbgirshick/py-faster-rcnn)\n\u003e\u003e - [Fast R-CNN](https://github.com/rbgirshick/fast-rcnn)\n\n\u003e\u003e ### 2.3 Image Segmentation\n\u003e\u003e - [Mask R-CNN](https://github.com/jasjeetIM/Mask-RCNN)\n\u003e\u003e - [DeepLab](https://bitbucket.org/aquariusjay/deeplab-public-ver2)\n\u003e\u003e - [CRF-RNN](https://github.com/torrvision/crfasrnn)\n\u003e\u003e - [SegNet](https://github.com/alexgkendall/caffe-segnet)\n\u003e\u003e - [DeconvNet: Learning Deconvolution Network for Semantic Segmentation](https://github.com/HyeonwooNoh/DeconvNet)\n\u003e\u003e - [Fully Convolutional Networks for Semantic Segmentation](https://github.com/shelhamer/fcn.berkeleyvision.org)\n\n\u003e\u003e ### 2.4 Face Detection / Recognition / Verification\n\u003e\u003e - [Center Loss](https://github.com/ydwen/caffe-face)\n\u003e\u003e - [MTCNN_face_detection_alignment](https://github.com/DaFuCoding/MTCNN_Caffe)\n\u003e\u003e - [VGG-Face](http://www.robots.ox.ac.uk/~vgg/software/vgg_face/)\n\u003e\u003e - [TripletLoss(FaceNet)](https://github.com/pinguo-luhaofang/tripletloss)\n\u003e\u003e - [dockerface](https://github.com/natanielruiz/dockerface) - Easy to install and use deep learning Faster R-CNN face detection for images and video in a docker container.\n\n\u003e\u003e ### 2.5 Action Recognition\n\u003e\u003e - [UntrimmedNets](https://github.com/wanglimin/UntrimmedNet)\n\u003e\u003e - [C3D](https://github.com/chuckcho/video-caffe) (a recent version of Caffe)\n\u003e\u003e - [TDD](https://github.com/wanglimin/TDD)\n\u003e\u003e - [LRCN](https://github.com/LisaAnne/lisa-caffe-public/tree/lstm_video_deploy)\n\n\u003e\u003e ### 2.6 Object Tracking\n\u003e\u003e - [FCNT](https://github.com/scott89/FCNT)\n\n\u003e\u003e ### 2.7 Scene Classification\n\u003e\u003e - [Places CNN](http://places.csail.mit.edu/downloadCNN.html)\n\n\u003e\u003e ### 2.8 Image Super-resolution\n\u003e\u003e - [SRCNN](http://mmlab.ie.cuhk.edu.hk/projects/SRCNN.html)\n\n\u003e\u003e ### 2.9 Images Generation\n\u003e\u003e - [cnn-vis](https://github.com/jcjohnson/cnn-vis)\n\u003e\u003e - [style-transfer](https://github.com/fzliu/style-transfer)\n\u003e\u003e - [Colorful Image Colorization](https://github.com/richzhang/colorization)\n\u003e\u003e - [Coupled Face Generation](https://github.com/mingyuliutw/CoGAN)\n\n\u003e\u003e ### 2.10 Self-driving\n\u003e\u003e - [DeepDrive](http://deepdrive.io/)\n\u003e\u003e - [Berkeley DeepDrive](http://bdd.berkeley.edu/)\n\u003e\u003e - [Princeton deepdriving](http://deepdriving.cs.princeton.edu/)\n\n\u003e\u003e ### 2.11 Reinforcement Learning\n\u003e\u003e - [DRQN](https://github.com/mhauskn/dqn)\n\u003e\u003e - [DQN](https://github.com/muupan/dqn-in-the-caffe)\n\n\u003e\u003e ## 2.12 Image Generation\n\u003e\u003e - [VAE](https://github.com/cdoersch/vae_tutorial)\n\n## \u003ca name=\"NLP\"\u003e3. NLP\n\u003e\u003e - [NLP-Caffe](https://github.com/Russell91/nlpcaffe)\n\u003e\u003e - [Sentiment Analysis](http://city.shaform.com/blog/2015/06/06/caffe-sentiment-analysis.html)\n\n\n## \u003ca name=\"Speech\"\u003e4. Speech\n\u003e\u003e - [Speech Recognition](https://github.com/pannous/caffe-speech-recognition)\n\u003e\u003e - [Kaldi](https://github.com/kaldi-asr/kaldi)\n\n\n## \u003ca name=\"Building\"\u003e\u003c/a\u003e5. Building Blocks\n\u003e\u003e ### 5.1 Initialization\n\u003e\u003e - [k-means initialization](https://github.com/philkr/magic_init)\n\u003e\u003e - [LSUV](https://github.com/ducha-aiki/LSUVinit)\n\n\u003e\u003e ### 5.2 Activation Function\n\u003e\u003e TODO\n\n## \u003ca name=\"Tools\"\u003e\u003c/a\u003e6. Tools\n\u003e\u003e ### 6.1 Converter\n\u003e\u003e - [caffe-tensorflow](https://github.com/ethereon/caffe-tensorflow)\n\u003e\u003e - [caffe-theano-conversion](https://github.com/kitofans/caffe-theano-conversion)\n\u003e\u003e - [CaffeToKeras](https://github.com/MarcBS/keras)\n\n\u003e\u003e ### 6.2 Labeling\n\u003e\u003e - [labelme](https://github.com/wkentaro/labelme)\n\u003e\u003e - [LabelImg](https://github.com/tzutalin/labelImg)\n\u003e\u003e - [BBox-Label-Tool](https://github.com/puzzledqs/BBox-Label-Tool)\n\u003e\u003e - [FastAnnotationTool](https://github.com/christopher5106/FastAnnotationTool)\n\n\u003e\u003e ### 6.3 Data Augmentation\n\u003e\u003e - [Augmentor](https://github.com/mdbloice/Augmentor)\n\n\u003e\u003e ### 6.4 Parameter Search\n\u003e\u003e - [Spearmint](https://github.com/kuz/caffe-with-spearmint)\n\n\u003e\u003e ### 6.5 Visualization\n\u003e\u003e - [netron](https://github.com/lutzroeder/netron)\n\u003e\u003e - [deep-visualization-toolbox](https://github.com/yosinski/deep-visualization-toolbox)\n\u003e\u003e - [DeepDraw](https://github.com/auduno/deepdraw)\n\n\u003e\u003e ### 6.6 Mobile Platform\n\u003e\u003e - [ncnn](https://github.com/Tencent/ncnn)\n\u003e\u003e - [ShuffleNet](https://github.com/farmingyard/ShuffleNet)\n\u003e\u003e - [caffe-android-lib](https://github.com/sh1r0/caffe-android-lib)\n\u003e\u003e - [caffe-ios](https://github.com/aleph7/caffe/)\n\u003e\u003e - [windows](https://github.com/dlunion/CC4.0)\n\n\u003e\u003e ### 6.7 Intel and AMD\n\u003e\u003e - [hipCaffe-AMD’s Radeon Instinct GPUs](https://github.com/ROCmSoftwarePlatform/hipCaffe)\n\u003e\u003e - [Intel® Xeon Phi™](https://software.intel.com/en-us/articles/caffe-optimized-for-intel-architecture-applying-modern-code-techniques)\n\u003e\u003e - [OpenCL-caffe](https://github.com/amd/OpenCL-caffe)\n\u003e\u003e - [SkimCaffe](https://github.com/IntelLabs/SkimCaffe)\n\n\u003e\u003e ### 6.8 Parallel and Distributed computing\n\u003e\u003e - [A multi-GPU and memory-reduced MAT-Caffe](https://github.com/sciencefans/CaffeMex_v2)\n\u003e\u003e - [SparkNet](https://github.com/amplab/SparkNet)\n\u003e\u003e - [CaffeOnSpark](https://github.com/yahoo/CaffeOnSpark)\n\u003e\u003e - [petuum/bosen ](https://github.com/petuum/bosen)\n\n\n\u003e\u003e ### 6.9 Net Builder\n\u003e\u003e - [pynetbuilder](https://github.com/jay-mahadeokar/pynetbuilder)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FMichaelXin%2FAwesome-Caffe","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FMichaelXin%2FAwesome-Caffe","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FMichaelXin%2FAwesome-Caffe/lists"}