{"id":13444485,"url":"https://github.com/chinakook/Awesome-MXNet","last_synced_at":"2025-03-20T18:32:53.853Z","repository":{"id":25086614,"uuid":"103142878","full_name":"chinakook/Awesome-MXNet","owner":"chinakook","description":"A curated list of MXNet examples, tutorials and blogs.","archived":false,"fork":false,"pushed_at":"2022-03-14T12:13:32.000Z","size":295,"stargazers_count":838,"open_issues_count":1,"forks_count":193,"subscribers_count":76,"default_branch":"master","last_synced_at":"2024-05-23T04:00:50.990Z","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":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/chinakook.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2017-09-11T13:59:54.000Z","updated_at":"2024-04-15T06:22:46.000Z","dependencies_parsed_at":"2022-07-27T05:02:15.637Z","dependency_job_id":null,"html_url":"https://github.com/chinakook/Awesome-MXNet","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/chinakook%2FAwesome-MXNet","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/chinakook%2FAwesome-MXNet/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/chinakook%2FAwesome-MXNet/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/chinakook%2FAwesome-MXNet/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/chinakook","download_url":"https://codeload.github.com/chinakook/Awesome-MXNet/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":220810130,"owners_count":16706800,"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":"2024-07-31T04:00:24.950Z","updated_at":"2024-10-28T06:31:06.062Z","avatar_url":"https://github.com/chinakook.png","language":null,"funding_links":[],"categories":["Uncategorized","Others","Programming Language Lists","Learning DeepLearning Framework"],"sub_categories":["Uncategorized","Python Lists"],"readme":"# Awesome MXNet [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/jtoy/awesome)\n\n\u003cp align=\"center\"\u003e\n    \u003ca href=\"https://mxnet.incubator.apache.org/\"\u003e\u003cimg src=\"https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/image/mxnet_logo_2.png\"\u003e\u003c/a\u003e\u003cbr\u003e\n\t\u003cimg src=\"https://img.shields.io/badge/stars-750+-brightgreen.svg?style=flat\"/\u003e\n\t\u003cimg src=\"https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat\"\u003e\n\u003c/p\u003e\n\nA curated list of MXNet examples, tutorials, papers, conferences and blogs.\n\n## \u003ca name=\"Contributing\"\u003e\u003c/a\u003eContributing\n\nIf you want to contribute to this list and the examples, please open a new pull request.\n\n## Table of Contents\n- [1. Tutorials and Resources](#Tutorials)\n- [2. Vision](#Vision)\n- [3. NLP](#NLP)\n- [4. Speech](#Speech)\n- [5. Time series forecasting](#Time_series_forecasting)\n- [6. Spatiotemporal](#Spatiotemporal )\n- [7. CTR](#CTR)\n- [8. DRL](#DRL)\n- [9. Neuro Evolution](#Neuro_evolution)\n- [10. One Class Learning](#One_class_learning)\n- [11. Probabilistic Programming](#PPL)\n- [12. Transfer Learning](#TL)\n- [13. Tools](#Tools)\n\n________________\n\n\n## \u003ca name=\"Tutorials and Resources\"\u003e\u003c/a\u003e1. Tutorials and Resources\n- [Documents](https://mxnet.incubator.apache.org/) [[site]](https://github.com/apache/incubator-mxnet-site)\n- Tutorial Documentation [[English]](https://mxnet.incubator.apache.org/tutorials/) [[Chinese]](https://github.com/wangx404/symbol_coding_tutorials_of_MXNet)\n- [New version of Documentation](https://github.com/mli/new-docs)\n- Gluon Tutorial Documentation [[English]](http://en.diveintodeeplearning.org//) [[Chinese]](https://zh.diveintodeeplearning.org/) [[Japanese]](https://github.com/harusametime/mxnet-the-straight-dope-ja)\n- [Gluon Api](https://github.com/gluon-api/gluon-api)\n- [CheatSheet](https://github.com/chinakook/Awesome-MXNet/blob/master/apache-mxnet-cheat.pdf)\n- [Using MXNet](https://github.com/JONGGON/Mxnet_Tutorial)\n- [TVM Documentation](http://docs.tvmlang.org/)\n- [NNVM Documentation](http://nnvm.tvmlang.org/)\n- [Linalg examples](https://github.com/ARCambridge/MXNet_linalg_examples)\n- [NNVM Vison Demo](https://github.com/masahi/nnvm-vision-demo)\n- [im2rec_tutorial](https://github.com/leocvml/mxnet-im2rec_tutorial)\n- [MXNet Blog (Chinese)](https://zh.mxnet.io/blog/)\n- MXNet Discuss Forum [[English]](https://discuss.mxnet.io/) [[Chinese]](https://discuss.gluon.ai/)\n- [r/mxnet subreddit](https://www.reddit.com/r/mxnet/)\n- Apache MXNet youtube channel [[English]](https://www.youtube.com/channel/UCQua2ZAkbr_Shsgfk1LCy6A) [[Chinese]](https://www.youtube.com/channel/UCjeLwTKPMlDt2segkZzw2ZQ)\n- [GluonCV](http://gluon-cv.mxnet.io/)\n- [GluonNLP](http://gluon-nlp.mxnet.io/)\n\n## \u003ca name=\"Vision\"\u003e\u003c/a\u003e2. Vision\n### 2.1 Image Classification\n - ResNet [[sym]](https://github.com/tornadomeet/ResNet) [[gluon]](https://github.com/apache/incubator-mxnet/blob/master/python/mxnet/gluon/model_zoo/vision/resnet.py) [[v1b]](https://github.com/dmlc/gluon-cv/blob/master/gluoncv/model_zoo/resnetv1b.py)\n - DenseNet [[sym]](https://github.com/bruinxiong/densenet.mxnet) [[gluon]](https://github.com/apache/incubator-mxnet/blob/master/python/mxnet/gluon/model_zoo/vision/densenet.py)\n - SENet [[sym]](https://github.com/bruinxiong/SENet.mxnet) [[gluon]](https://github.com/dmlc/gluon-cv/blob/master/gluoncv/model_zoo/se_resnet.py) [[caffe]](https://github.com/IIMarch/SENet-mxnet)\n - [MobileNet V3](https://github.com/AmigoCDT/MXNet-MobileNetV3)\n - Xception [[sym]](https://github.com/bruinxiong/xception.mxnet) [[gluon]](https://github.com/osmr/imgclsmob/blob/master/gluon/gluoncv2/models/xception.py) [[Keras]](https://github.com/u1234x1234/mxnet-xception)\n - [DPN](https://github.com/cypw/DPNs)\n - [CapsNet](https://github.com/Soonhwan-Kwon/capsnet.mxnet)\n - [NASNet-A(Gluon:star:)](https://github.com/qingzhouzhen/incubator-mxnet/blob/nasnet/python/mxnet/gluon/model_zoo/vision/nasnet.py)\n - [CRU-Net](https://github.com/cypw/CRU-Net)\n - [ShuffleNet v1/v2](https://github.com/Tveek/mxnet-shufflenet)\n - [**IGCV3**](https://github.com/homles11/IGCV3)\n - [SqeezeNet](https://github.com/miaow1988/SqueezeNet_v1.2)\n - [FractalNet](https://github.com/newuser-16824/mxnet-fractalnet)\n - [BMXNet](https://github.com/hpi-xnor/BMXNet)\n - [**BMXNet v2**](https://github.com/hpi-xnor/BMXNet-v2)\n - [fusenet](https://github.com/zlmzju/fusenet)\n - [Self-Norm Nets](https://github.com/Ldpe2G/DeepLearningForFun/tree/master/Mxnet-Scala/SelfNormNets)\n - [Factorized-Bilinear-Network](https://github.com/lyttonhao/Factorized-Bilinear-Network)\n - [AOGNet](https://github.com/xilaili/AOGNet)\n - [NonLocal+SENet](https://github.com/WillSuen/NonLocalandSEnet)\n - [mixup](https://github.com/unsky/mixup)\n - [sparse-structure-selection](https://github.com/TuSimple/sparse-structure-selection)\n - [neuron-selectivity-transfer](https://github.com/TuSimple/neuron-selectivity-transfer)\n - [L-GM-Loss](https://github.com/LeeJuly30/L-GM-Loss-For-Gluon)\n - [**CoordConv**](https://github.com/ZwX1616/mxnet-CoordConv)\n - [IBN-Net](https://github.com/bruinxiong/IBN-Net.mxnet)\n - [Mnasnet](https://github.com/chinakook/Mnasnet.MXNet) [[pretrained model]](https://github.com/zeusees/Mnasnet-Pretrained-Model)\n - [**CompetitiveSENet**](https://github.com/scut-aitcm/CompetitiveSENet)\n - [Residual-Attention-Network](https://github.com/haoxintong/Residual-Attention-Network-Gluon)\n - [SNAIL](https://github.com/seujung/SNAIL-gluon)\n - [DropBlock](https://github.com/chenzx921020/DropBlock-mxnet)\n - [DropBlock(c++ implementaion)](https://github.com/yuyijie1995/dropblock_mxnet_bottom_implemention)\n - [Modified-CBAMnet](https://github.com/bruinxiong/Modified-CBAMnet.mxnet)\n - [**OctConv**](https://github.com/facebookresearch/OctConv)\n - [tasn](https://github.com/researchmm/tasn)\n - 3rdparty Resnet/Resnext/Inception/Xception/Air/DPN/SENet [pretrained models](https://github.com/soeaver/mxnet-model)\n - Collection of [pretrained models (Gluon:star:)](https://github.com/osmr/imgclsmob)\n\n ### 2.2 Object Detection\n - [PVANet](https://github.com/apache/incubator-mxnet/pull/7786)\n - SSD [[Origin]](https://github.com/zhreshold/mxnet-ssd) [[Focal Loss]](https://github.com/eldercrow/focal_loss_mxnet_ssd) [[FPN]](https://github.com/zunzhumu/ssd) [[DSSD/TDM]](https://github.com/MTCloudVision/mxnet-dssd) [[RetinaNet]](https://github.com/jkznst/RetinaNet-mxnet) [[RefineDet]](https://github.com/MTCloudVision/RefineDet-Mxnet)\n - [DSOD](https://github.com/leocvml/DSOD-gluon-mxnet)\n - YOLO [[sym v1/v2]](https://github.com/zhreshold/mxnet-yolo) [[darknet]](https://github.com/bowenc0221/MXNet-YOLO) [[gluon]](https://github.com/MashiMaroLjc/YOLO) [[v3]](https://github.com/Fermes/yolov3-mxnet)\n - Faster RCNN [[Origin]](https://github.com/precedenceguo/mx-rcnn) [[gluon]](https://github.com/dmlc/gluon-cv/tree/master/gluoncv/model_zoo/faster_rcnn) [[ya_mxdet]](https://github.com/linmx0130/ya_mxdet) [[Focal Loss]](https://github.com/unsky/focal-loss) [[Light-Head]](https://github.com/terrychenism/Deformable-ConvNets/blob/master/rfcn/symbols/resnet_v1_101_rfcn_light.py#L784)\n - [**Deformable-ConvNets**](https://github.com/msracver/Deformable-ConvNets) with Faster RCNN/R-FCN/FPN/SoftNMS and Deeplab\n - [**Deformable-ConvNets v2**](https://github.com/msracver/Deformable-ConvNets/tree/master/DCNv2_op)\n - [**Relation-Networks**](https://github.com/msracver/Relation-Networks-for-Object-Detection) with FPN\n - [FPN-gluon-cv](https://github.com/Angzz/fpn-gluon-cv)\n - [FCIS](https://github.com/msracver/FCIS)\n - [Mask R-CNN](https://github.com/TuSimple/mx-maskrcnn)\n - [SqueezeDet](https://github.com/alvinwan/squeezeDetMX)\n - [IOULoss](https://github.com/wcj-Ford/IOULoss)\n - [FocalLoss(CUDA)](https://github.com/yuantangliang/softmaxfocalloss)\n - [dspnet](https://github.com/liangfu/dspnet)\n - [Faster_RCNN_for_DOTA](https://github.com/jessemelpolio/Faster_RCNN_for_DOTA)\n - [RoITransformer](https://github.com/dingjiansw101/RoITransformer_DOTA)\n - [cascade-rcnn-gluon(Gluon:star:)](https://github.com/lizhenbang56/cascade-rcnn-gluon)\n - [**SNIPER**](https://github.com/mahyarnajibi/SNIPER) with R-FCN-3K and SSH Face Detector\n - [Car-Detector-and-Tracker](https://github.com/YvesHarrison/Car-Detector-and-Tracker-Using-MXNet-and-KCF)\n - [detnet](https://github.com/BigDeviltjj/mxnet-detnet)\n - [CornerNet](https://github.com/BigDeviltjj/mxnet-cornernet)\n - [GroupNormalization](https://github.com/JaggerYoung/mxnet-GroupNormalization)\n - [faster-rcnn-rotate](https://github.com/shihan19911126/mxnet-faster-rcnn-rotate)\n - [Detection and Recognition in Remote Sensing Image](https://github.com/whywhs/Detection_and_Recognition_in_Remote_Sensing_Image)\n - [**simpledet**](https://github.com/TuSimple/simpledet) with FP16 and distributed training\n - [**FCOS**](https://github.com/Angzz/fcos-gluon-cv)\n - [Cascade RCNN](https://github.com/zzdang/cascade_rcnn_gluon)\n\n ### 2.3 Image Segmentation\n - [FCN](https://github.com/dmlc/gluon-cv/blob/master/gluoncv/model_zoo/fcn.py)\n - Deeplab [[v2]](https://github.com/buptweixin/mxnet-deeplab)  [[v3+Vortex Pooling]](https://github.com/MTCloudVision/deeplabv3-mxnet_gluon) [[v3plus]](https://github.com/duducheng/deeplabv3p_gluon) [[v3plus+densenet]](https://github.com/leocvml/deeplabv3plus-gluon-mxnet)\n - U-Net [[gluon]](https://github.com/chinakook/U-Net) [[kaggle dstl]](https://github.com/u1234x1234/kaggle-dstl-satellite-imagery-feature-detection)\n - [SegNet](https://github.com/solin319/incubator-mxnet/tree/solin-patch-segnet)\n - [PSPNet](https://github.com/dmlc/gluon-cv/blob/master/gluoncv/model_zoo/pspnet.py) with [SyncBN](https://github.com/dmlc/gluon-cv/blob/master/gluoncv/model_zoo/syncbn.py)\n - [DUC](https://github.com/TuSimple/TuSimple-DUC)\n - [ResNet-38](https://github.com/itijyou/ademxapp)\n - [SEC](https://github.com/ascust/SEC-MXNet)\n - [**DRN**](https://github.com/zhuangyqin/DRN)\n - [panoptic-fpn](https://github.com/Angzz/panoptic-fpn-gluon)\n - [AdaptIS](https://github.com/saic-vul/adaptis)\n\n ### 2.4 Video Recognition and Object Detection\n - [Deep Feature Flow](https://github.com/msracver/Deep-Feature-Flow)\n - [Flow-Guided Feature Aggregation](https://github.com/msracver/Flow-Guided-Feature-Aggregation)\n - [st-resnet](https://github.com/jay1204/st-resnet)\n\n ### 2.5 Face Detection and Recognition\n - [MXNet Face](https://github.com/tornadomeet/mxnet-face)\n - MTCNN [[w/ train]](https://github.com/Seanlinx/mtcnn) [[caffe]](https://github.com/pangyupo/mxnet_mtcnn_face_detection)\n - Tiny Face [[w/ train]](https://github.com/IIMarch/tiny-face-mxnet) [[matconvnet]](https://github.com/chinakook/hr101_mxnet)\n - [S3FD](https://github.com/zunzhumu/S3FD)\n - [S3FD-gluoncv](https://github.com/yangfly/sfd.gluoncv)\n - [SSH](https://github.com/deepinsight/mxnet-SSH)\n - [FaceDetection-ConvNet-3D](https://github.com/tfwu/FaceDetection-ConvNet-3D)\n - [DeepID v1](https://github.com/AihahaFox/deepid-mxnet)\n - Range Loss [[CustomOp]](https://github.com/ShownX/mxnet-rangeloss) [[gluon]](https://github.com/LeeJuly30/RangeLoss-For-Gluno)\n - [Convolutional Sketch Inversion](https://github.com/VinniaKemala/sketch-inversion)\n - [Face68Pts](https://github.com/LaoDar/mxnet_cnn_face68pts)\n - [DCGAN face generation(Gluon:star:)](https://github.com/dbsheta/dcgan_face_generation)\n - [**InsightFace**](https://github.com/deepinsight/insightface)\n - [Modified-CRUNet+Residual-Attention-Network](https://github.com/bruinxiong/Modified-CRUNet-and-Residual-Attention-Network.mxnet)\n - [LightCNN](https://github.com/ly-atdawn/LightCNN-mxnet)\n - [E2FAR](https://github.com/ShownX/mxnet-E2FAR)\n - [FacialLandmark](https://github.com/BobLiu20/FacialLandmark_MXNet)\n - [batch_hard_triplet_loss](https://github.com/IcewineChen/mxnet-batch_hard_triplet_loss)\n - [facial-emotion-recognition](https://github.com/TalkAI/facial-emotion-recognition-gluon)\n - [RSA(prediction only)](https://github.com/ElegantGod/RSA-for-object-detection-mxnet-version)\n - [gender_age_estimation_mxnet](https://github.com/wayen820/gender_age_estimation_mxnet)\n - [Ringloss](https://github.com/haoxintong/Ringloss-Gluon)\n - [gluon-face](https://github.com/THUFutureLab/gluon-face)\n - [age-gender-estimation](https://github.com/deepinx/age-gender-estimation)\n - [iqiyi-vid-challenge 1st code](https://github.com/deepinx/iqiyi-vid-challenge)\n - [sdu-face-alignment](https://github.com/deepinx/sdu-face-alignment)\n - [PyramidBox](https://github.com/JJXiangJiaoJun/gluon_PyramidBox)\n - [A-Light-and-Fast-Face-Detector-for-Edge-Devices](https://github.com/YonghaoHe/A-Light-and-Fast-Face-Detector-for-Edge-Devices)\n\n\n ### 2.6 ReID\n - [rl-multishot-reid](https://github.com/TuSimple/rl-multishot-reid)\n - [DarkRank](https://github.com/TuSimple/DarkRank)\n - [reid_baseline_gluon](https://github.com/L1aoXingyu/reid_baseline_gluon)\n - [beyond-part-models](https://github.com/Tyhye/beyond-part-models-gluon)\n - [**gluon-reid**](https://github.com/xiaolai-sqlai/gluon-reid)\n\n ### 2.7 Human Analyzation and Activity Recognition\n - [Head Pose](https://github.com/LaoDar/cnn_head_pose_estimator)\n - [Convolutional Pose Machines](https://github.com/li-haoran/mxnet-convolutional_pose_machines_Testing)\n - [Realtime Multi-Person Pose Estimation](https://github.com/dragonfly90/mxnet_Realtime_Multi-Person_Pose_Estimation)\n - [Realtime Multi-Person Pose Estimation (Gluon :star:)](https://github.com/ThomasDelteil/MultiPoseEstimation_MXNet)\n - [OpenPose](https://github.com/kohillyang/mx-openpose)\n - [Dynamic pose estimation](https://github.com/gengshan-y/dyn_pose)\n - [LSTM for HAR](https://github.com/Ldpe2G/DeepLearningForFun/tree/master/Mxnet-Scala/HumanActivityRecognition)\n - [C3D](https://github.com/JaggerYoung/C3D-mxnet)\n - [P3D](https://github.com/IIMarch/pseudo-3d-residual-networks-mxnet)\n - [DeepHumanPrediction](https://github.com/JONGGON/DeepHumanPrediction)\n - [Reinspect](https://github.com/NoListen/mxnet-reinspect)\n - [COCO Human keypoint](https://github.com/wangsr126/mxnet-pose)\n - [R2Plus1D](https://github.com/starsdeep/R2Plus1D-MXNet)\n - [CSRNet](https://github.com/wkcn/CSRNet-mx)\n\n ### 2.8 Image Enhancement\n - [**learning-to-see-in-the-dark**](https://github.com/anzhao0503/learning-to-see-in-the-dark.mxnet)\n - SRCNN [[1]](https://github.com/Codersadis/SRCNN-MXNET) [[2]](https://github.com/galad-loth/SuperResolutionCNN)\n - [**Super-Resolution-Zoo**](https://github.com/WolframRhodium/Super-Resolution-Zoo) MXNet pretrained models for super resolution, denoising and deblocking\n\n ### 2.9 OCR\n - [SSD Text Detection](https://github.com/oyxhust/ssd-text_detection)\n - [EAST](https://github.com/wangpan8154/east-text-detection-with-mxnet/tree/1a63083d69954e7c1c7ac277cf6b8ed5af4ec770)\n - [**CTPN.mxnet**](https://github.com/chinakook/CTPN.mxnet)\n - CRNN [[Chinese]](https://github.com/diaomin/crnn-mxnet-chinese-text-recognition) [ [[insightocr]](https://github.com/deepinsight/insightocr) [[A full version]](https://github.com/WenmuZhou/crnn.gluon)\n - [Handwritten OCR CRNN (Gluon :star:)](https://github.com/ThomasDelteil/HandwrittenTextRecognition_MXNet)\n - [PSENet](https://github.com/saicoco/Gluon-PSENet)\n\n\n ### 2.10 Point cloud \u0026 3D\n - [mx-pointnet](https://github.com/Zehaos/mx-pointnet) [[gluon version]](https://github.com/hnVfly/pointnet.mxnet)\n - [PointCNN.MX](https://github.com/chinakook/PointCNN.MX)\n - [RC3D](https://github.com/likelyzhao/MxNet-RC3D/blob/master/RC3D/symbols/RC3D.py)\n - [DeepIM](https://github.com/liyi14/mx-DeepIM)\n\n ### 2.11 Images Generation\n - [pix2pix](https://github.com/Ldpe2G/DeepLearningForFun/tree/master/Mxnet-Scala/Pix2Pix)\n - [Image colorization](https://github.com/skirdey/mxnet-pix2pix)\n - [Neural-Style-MMD](https://github.com/lyttonhao/Neural-Style-MMD)\n - [MSG-Net(Gluon:star:)](https://github.com/zhanghang1989/MXNet-Gluon-Style-Transfer)\n - [fast-style-transfer](https://github.com/SineYuan/mxnet-fast-neural-style)\n - [neural-art-mini](https://github.com/pavelgonchar/neural-art-mini)\n\n ### 2.12 GAN\n - [DCGAN(Gluon:star:)](https://github.com/kazizzad/DCGAN-Gluon-MxNet)\n - [**CycleGAN**](https://github.com/leocvml/CycleGAN-gluon-mxnet)\n\n ### 2.13 MRI \u0026 DTI\n - [Chest-XRay](https://github.com/kperkins411/MXNet-Chest-XRay-Evaluation)\n - [LUCAD](https://github.com/HPI-DeepLearning/LUCAD)\n\n ### 2.14 Misc\n - [VisualBackProp](https://github.com/Bartzi/visual-backprop-mxnet)\n - VQA [[sym]](https://github.com/shiyangdaisy23/mxnet-vqa) [[gluon]](https://github.com/shiyangdaisy23/vqa-mxnet-gluon)\n - [Hierarchical Question-Imagee Co-Attention](https://github.com/WillSuen/VQA)\n - [text2image(Gluon:star:)](https://github.com/dbsheta/text2image)\n - [Traffic sign classification](https://github.com/sookinoby/mxnet-ccn-samples)\n - [cicada classification](https://github.com/dokechin/cicada_shell)\n - [geometric-matching](https://github.com/x007dwd/geometric-matching-mxnet)\n - [Loss Surfaces](https://github.com/nicklhy/cnn_loss_surface)\n - [Class Activation Mapping](https://github.com/nicklhy/CAM)\n - [AdversarialAutoEncoder](https://github.com/nicklhy/AdversarialAutoEncoder)\n - [Neural Image Caption](https://github.com/saicoco/mxnet_image_caption)\n - [mmd/jmmd/adaBN](https://github.com/deepinsight/transfer-mxnet)\n - [NetVlad](https://github.com/likelyzhao/NetVlad-MxNet)\n - [multilabel](https://github.com/miraclewkf/multilabel-MXNet)\n - [multi-task](https://github.com/miraclewkf/multi-task-MXNet)\n - [siamese](https://github.com/saicoco/mxnet-siamese)\n - [matchnet](https://github.com/zhengxiawu/mxnet-matchnet)\n - [DPSH](https://github.com/akturtle/DPSH)\n - [Yelp Restaurant Photo Classifacation](https://github.com/u1234x1234/kaggle-yelp-restaurant-photo-classification)\n - [siamese_network_on_omniglot(Gluon:star:)](https://github.com/muchuanyun/siamese_network_on_omniglot)\n - [StrassenNets](https://github.com/mitscha/strassennets)\n - [Image Embedding Learning (Gluon:star:)](https://github.com/chaoyuaw/incubator-mxnet)\n - [DIRNet](https://github.com/HPI-DeepLearning/DIRNet/tree/master/DIRNet-mxnet)\n - [Receptive Field Tool](https://github.com/chinakook/mxnet/blob/kkmaster/python/kktools/rf.py)\n - [mxnet-videoio](https://github.com/MTCloudVision/mxnet-videoio)\n - [AudioDataLoader](https://github.com/gaurav-gireesh/AudioDataLoader)\n - [mxnet_tetris](https://github.com/sunkwei/mxnet_tetris)\n - [Visual Search (Gluon:star:)](https://github.com/ThomasDelteil/VisualSearch_MXNet)\n - [DALI](https://github.com/NVIDIA/DALI)\n - [relational-network-gluon](https://github.com/seujung/relational-network-gluon)\n - [HKO-7](https://github.com/sxjscience/HKO-7) [[weather-forecasting]](https://github.com/igloooo/weather-forecasting-mxnet)\n - [siamfc](https://github.com/forschumi/siamfc-mxnet)\n - [AdvBox](https://github.com/baidu/AdvBox)\n - [SAGE-GRAPH](https://github.com/diyang/SAGE-GRAPH-R)\n - [Memory-Aware-Synapses](https://github.com/mingzhang96/MAS-mxnet)\n\n## \u003ca name=\"NLP\"\u003e\u003c/a\u003e3. NLP\n - [**sockeye**](https://github.com/awslabs/sockeye)\n - [**gluon-nlp**(Gluon:star:)](https://github.com/dmlc/gluon-nlp)\n - [MXNMT](https://github.com/magic282/MXNMT)\n - [Char-RNN(Gluon:star:)](https://github.com/SherlockLiao/Char-RNN-Gluon)\n - [Character-level CNN Text Classification (Gluon:star:)](https://github.com/ThomasDelteil/CNN_NLP_MXNet)\n - [AC-BLSTM](https://github.com/Ldpe2G/AC-BLSTM)\n - seq2seq [[sym]](https://github.com/yoosan/mxnet-seq2seq) [[gluon]](https://github.com/ZiyueHuang/MXSeq2Seq)\n - MemN2N [[sym]](https://github.com/nicklhy/MemN2N) [[gluon]](https://github.com/fanfeifan/MemN2N-Mxnet-Gluon)\n - [Neural Programmer-Interpreters](https://github.com/Cloudyrie/npi)\n - [sequence-sampling](https://github.com/doetsch/sequence-sampling-mxnet)\n - [retrieval chatbot](https://github.com/NonvolatileMemory/baseline_for_chatbot-mxnet)\n - [cnn+Highway Net](https://github.com/wut0n9/cnn_chinese_text_classification)\n - [sentiment-analysis(Gluon:star:)](https://github.com/aws-samples/aws-sentiment-analysis-mxnet-gluon)\n - [parserChiang(Gluon:star:)](https://github.com/linmx0130/parserChiang)\n - [Neural Variational Document Model(Gluon:star:)](https://github.com/dingran/nvdm-mxnet)\n - [NER with  Bidirectional LSTM-CNNs](https://github.com/opringle/named_entity_recognition)\n - [Sequential Matching Network(Gluon:star:)](https://github.com/NonvolatileMemory/MXNET-SMN)\n - [ko_en_NMT(Gluon:star:)](https://github.com/haven-jeon/ko_en_neural_machine_translation)\n - [**Gluon Dynamic-batching**(Gluon:star:)](https://github.com/szha/mxnet-fold)\n - [translatR](https://github.com/jeremiedb/translatR)\n - [RNN-Transducer](https://github.com/HawkAaron/mxnet-transducer)\n - [Deep Biaffine Parser](https://github.com/hankcs/DeepBiaffineParserMXNet)\n - [Crepe model](https://github.com/ThomasDelteil/CNN_NLP_MXNet)\n - [EXAM](https://github.com/bcol23/EXAM-MXNet)\n - [**RegionEmbedding**](https://github.com/zhaozhengChen/RegionEmbedding)\n - [Structured-Self-Attentive-Sentence-Embedding](https://github.com/kenjewu/Structured-Self-Attentive-Sentence-Embedding)\n - [translatR](https://github.com/jeremiedb/translatR)\n - [**BERT-embedding**](https://github.com/imgarylai/bert-embedding)\n\n## \u003ca name=\"Speech\"\u003e\u003c/a\u003e4. Speech\n - [mxnet_kaldi](https://github.com/vsooda/mxnet_kaldi)\n - [**deepspeech**](https://github.com/samsungsds-rnd/deepspeech.mxnet)\n - [wavenet](https://github.com/shuokay/mxnet-wavenet) [[WaveNet-gluon]](https://github.com/seujung/WaveNet-gluon)\n - [Tacotron](https://github.com/PiSchool/mxnet-tacotron)\n - [mxnet-audio](https://github.com/chen0040/mxnet-audio)\n\n## \u003ca name=\"Time_series_forecasting\"\u003e\u003c/a\u003e5. Time series forecasting\n - [LSTNet](https://github.com/opringle/multivariate_time_series_forecasting)\n\n## \u003ca name=\"Spatiotemporal\"\u003e\u003c/a\u003e6. Spatiotemporal\n - [gluon-spaceTime](https://github.com/D-Roberts/gluon-spaceTime)\n\n## \u003ca name=\"CTR\"\u003e\u003c/a\u003e7. CTR\n - [MXNet for CTR ](https://github.com/CNevd/DeepLearning-MXNet)\n - [CDL](https://github.com/js05212/MXNet-for-CDL)\n - [SpectralLDA](https://github.com/Mega-DatA-Lab/SpectralLDA-MXNet)\n - [DEF(Gluon:star:)](https://github.com/altosaar/deep-exponential-families-gluon)\n - [mxnet-recommender(Gluon:star:)](https://github.com/chen0040/mxnet-recommender)\n - [collaborative_filtering](https://github.com/opringle/collaborative_filtering)\n - [gluon-rank](https://github.com/opringle/gluon-rank)\n - [ncf](https://github.com/xinyu-intel/ncf_mxnet)\n\n## \u003ca name=\"DRL\"\u003e\u003c/a\u003e8. DRL\n - [DRL](https://github.com/qyxqyx/DRL)\n - [DQN(Gluon:star:)](https://github.com/kazizzad/DQN-MxNet-Gluon)\n - [Double DQN(Gluon:star:)](https://github.com/kazizzad/Double-DQN-MxNet-Gluon)\n - [openai-mxnet](https://github.com/boddmg/openai-mxnet)\n - [PPO(Gluon:star:)](https://github.com/dai-dao/PPO-Gluon)\n - [CrazyAra](https://github.com/QueensGambit/CrazyAra)\n\n## \u003ca name=\"Neuro_evolution\"\u003e\u003c/a\u003e9. Neuro Evolution\n - [galapagos_nao](https://github.com/jeffreyksmithjr/galapagos_nao)\n\n## \u003ca name=\"One_class_learning\"\u003e\u003c/a\u003e10. One Class Learning\n - [anomaly_detection](https://github.com/malykhin/anomaly_detection/blob/master/anomaly_AWS.ipynb)\n\n## \u003ca name=\"PPL\"\u003e\u003c/a\u003e11. Probabilistic Programming\n - [**MXFusion**](https://github.com/amzn/MXFusion)\n\n## \u003ca name=\"TL\"\u003e\u003c/a\u003e12. Transfer Learning\n - [**xfer**](https://github.com/amzn/xfer)\n\n## \u003ca name=\"Tools\"\u003e\u003c/a\u003e13. Tools\n ### 13.1 Converter\n - [mxnet2tf](https://github.com/vuvko/mxnet2tf)\n - [MMdnn](https://github.com/Microsoft/MMdnn)\n - [onnx-mxnet](https://github.com/onnx/onnx-mxnet)\n - [mxnet_to_onnx](https://github.com/NVIDIA/mxnet_to_onnx)\n - [R-Convert-json-to-symbol](https://github.com/Imshepherd/MxNetR-Convert-json-to-symbol)\n - [**mxnet2ncnn**](https://github.com/Tencent/ncnn/blob/28b35b8c4f3d58feaaaeaa58273b763751827aab/tools/mxnet/mxnet2ncnn.cpp)\n - [Gluon2PyTorch](https://github.com/nerox8664/gluon2pytorch)\n - [Gluon2Keras](https://github.com/nerox8664/gluon2keras)\n\n ### 13.2 Language Bindings\n - [mxnet.rb](https://github.com/mrkn/mxnet.rb)\n - [mxnet.csharp](https://github.com/yajiedesign/mxnet.csharp)\n - [SiaNet(csharp)](https://github.com/deepakkumar1984/SiaNet)\n - [go-mxnet-predictor](https://github.com/songtianyi/go-mxnet-predictor)\n - [dmxnet](https://github.com/sociomantic-tsunami/dmxnet)\n - [load_op](https://github.com/DuinoDu/load_op.mxnet)\n - [MobulaOP](https://github.com/wkcn/MobulaOP)\n\n ### 13.3 Visualization\n - [mxbox](https://github.com/Lyken17/mxbox)\n - [mixboard](https://github.com/DrSensor/mixboard)\n - [mxflows](https://github.com/aidan-plenert-macdonald/mxflows)\n - [mxserver](https://github.com/Harmonicahappy/mxserver)\n - [VisualDL](https://github.com/PaddlePaddle/VisualDL)\n - [mxProfileParser](https://github.com/TaoLv/mxProfileParser)\n - [polyaxon](https://github.com/polyaxon/polyaxon) with [examples](https://github.com/polyaxon/polyaxon-examples/tree/master/mxnet/cifar10)\n - [Netron](https://github.com/lutzroeder/Netron)\n - [**mxboard**](https://github.com/awslabs/mxboard)\n - [CalFLOPS](https://github.com/likelyzhao/CalFLOPS-Mxnet)\n\n ### 13.4 Parallel and Distributed computing\n - [mxnet-rdma](https://github.com/liuchang1437/mxnet-rdma)\n - [RDMA-MXNet-ps-lite](https://github.com/ralzq01/RDMA-MXNet-ps-lite)\n - [MPIZ-MXNet](https://github.com/Shenggan/MPIZ-MXNet)\n - [MXNetOnYARN](https://github.com/Intel-bigdata/MXNetOnYARN)\n - [mxnet-operator](https://github.com/deepinsight/mxnet-operator)\n - [mxnet_on_kubernetes](https://github.com/WorldAITime/mxnet_on_kubernetes)\n - [speculative-synchronization](https://github.com/All-less/mxnet-speculative-synchronization)\n - [XLearning](https://github.com/Qihoo360/XLearning)\n - [Gluon Distributed Training (Gluon:star:)](https://mxnet.indu.ai/tutorials/distributed-training-using-mxnet)\n - [gpurelperf](https://github.com/andylamp/gpurelperf)\n - [horovod](https://github.com/horovod/horovod)\n - [**byteps**](https://github.com/bytedance/byteps)\n\n ### 13.5 Productivity\n - [Email Monitor MxnetTrain](https://github.com/fierceX/Email_Monitor_MxnetTrain)\n - [mxnet-oneclick](https://github.com/imistyrain/mxnet-oneclick)\n - [mxnet-finetuner](https://github.com/knjcode/mxnet-finetuner)\n - [Early-Stopping](https://github.com/kperkins411/MXNet_Demo_Early-Stopping)\n - [MXNet_Video_Trainer](https://github.com/likelyzhao/MXNet_Video_Trainer)\n - [rs_mxnet_reader](https://github.com/ChenKQ/rs_mxnet_reader)\n\n ### 13.6 Parameter optimizer\n - [YellowFin](https://github.com/StargazerZhu/YellowFin_MXNet)\n - [**LookaheadOptimizer**](https://github.com/wkcn/LookaheadOptimizer-mx)\n\n ### 13.7 Deployment\n - [Turi Create](https://github.com/apple/turicreate)\n - [MXNet-HRT](https://github.com/OAID/MXNet-HRT)\n - [Tengine](https://github.com/OAID/Tengine)\n - [Collective Knowledge](https://github.com/ctuning/ck-mxnet)\n - [flask-app-for-mxnet-img-classifier](https://github.com/XD-DENG/flask-app-for-mxnet-img-classifier)\n - [qt-mxnet](https://github.com/mjamroz/qt-mxnet)\n - [mxnet_predict_ros](https://github.com/Paspartout/mxnet_predict_ros)\n - [mxnet-lambda](https://github.com/awslabs/mxnet-lambda)\n - [openHabAI](https://github.com/JeyRunner/openHabAI)\n - ImageRecognizer [[iOS]](https://github.com/dneprDroid/ImageRecognizer-iOS) [[Android]](https://github.com/dneprDroid/ImageRecognizer-Android)\n - [MXNet to MiniFi](https://github.com/tspannhw/nvidiajetsontx1-mxnet)\n - [MXNet Model Serving ](https://github.com/yuruofeifei/mms)\n - [mxnet-model-server](https://github.com/awslabs/mxnet-model-server)\n - [tvm-mali](https://github.com/merrymercy/tvm-mali)\n - [mxnet-and-sagemaker](https://github.com/cosmincatalin/object-counting-with-mxnet-and-sagemaker)\n - [example-of-nnvm-in-cpp](https://github.com/zhangxinqian/example-of-nnvm-in-cpp)\n - [tensorly](https://github.com/tensorly/tensorly)\n - [OpenVINO](https://software.intel.com/en-us/openvino-toolkit/documentation/featured)\n\n ### 13.8 Other Branches\n - [ngraph-mxnet](https://github.com/NervanaSystems/ngraph-mxnet)\n - [distributedMXNet](https://github.com/TuSimple/distributedMXNet)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchinakook%2FAwesome-MXNet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fchinakook%2FAwesome-MXNet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchinakook%2FAwesome-MXNet/lists"}