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https://github.com/chinakook/Awesome-MXNet

A curated list of MXNet examples, tutorials and blogs.
https://github.com/chinakook/Awesome-MXNet
List: Awesome-MXNet
Last synced: about 2 months ago
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A curated list of MXNet examples, tutorials and blogs.
Host: GitHub
URL: https://github.com/chinakook/Awesome-MXNet
Owner: chinakook
Created: 2017-09-11T13:59:54.000Z (about 7 years ago)
Default Branch: master
Last Pushed: 2022-03-14T12:13:32.000Z (over 2 years ago)
Last Synced: 2024-05-23T04:00:50.990Z (4 months ago)
Size: 288 KB
Stars: 838
Watchers: 76
Forks: 193
Open Issues: 1
Metadata Files:
- Readme: README.md
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awesomeai - MXNet
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ultimate-awesome - Awesome-MXNet - A curated list of MXNet examples, tutorials and blogs. (Programming Language Lists / Python Lists)
README

        # Awesome MXNet [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/jtoy/awesome)



    


	

	



A curated list of MXNet examples, tutorials, papers, conferences and blogs.

## Contributing

If you want to contribute to this list and the examples, please open a new pull request.

## Table of Contents

- [1. Tutorials and Resources](#Tutorials)

- [2. Vision](#Vision)

- [3. NLP](#NLP)

- [4. Speech](#Speech)

- [5. Time series forecasting](#Time_series_forecasting)

- [6. Spatiotemporal](#Spatiotemporal )

- [7. CTR](#CTR)

- [8. DRL](#DRL)

- [9. Neuro Evolution](#Neuro_evolution)

- [10. One Class Learning](#One_class_learning)

- [11. Probabilistic Programming](#PPL)

- [12. Transfer Learning](#TL)

- [13. Tools](#Tools)

________________

## 1. Tutorials and Resources

- [Documents](https://mxnet.incubator.apache.org/) [[site]](https://github.com/apache/incubator-mxnet-site)

- Tutorial Documentation [[English]](https://mxnet.incubator.apache.org/tutorials/) [[Chinese]](https://github.com/wangx404/symbol_coding_tutorials_of_MXNet)

- [New version of Documentation](https://github.com/mli/new-docs)

- Gluon Tutorial Documentation [[English]](http://en.diveintodeeplearning.org//) [[Chinese]](https://zh.diveintodeeplearning.org/) [[Japanese]](https://github.com/harusametime/mxnet-the-straight-dope-ja)

- [Gluon Api](https://github.com/gluon-api/gluon-api)

- [CheatSheet](https://github.com/chinakook/Awesome-MXNet/blob/master/apache-mxnet-cheat.pdf)

- [Using MXNet](https://github.com/JONGGON/Mxnet_Tutorial)

- [TVM Documentation](http://docs.tvmlang.org/)

- [NNVM Documentation](http://nnvm.tvmlang.org/)

- [Linalg examples](https://github.com/ARCambridge/MXNet_linalg_examples)

- [NNVM Vison Demo](https://github.com/masahi/nnvm-vision-demo)

- [im2rec_tutorial](https://github.com/leocvml/mxnet-im2rec_tutorial)

- [MXNet Blog (Chinese)](https://zh.mxnet.io/blog/)

- MXNet Discuss Forum [[English]](https://discuss.mxnet.io/) [[Chinese]](https://discuss.gluon.ai/)

- [r/mxnet subreddit](https://www.reddit.com/r/mxnet/)

- Apache MXNet youtube channel [[English]](https://www.youtube.com/channel/UCQua2ZAkbr_Shsgfk1LCy6A) [[Chinese]](https://www.youtube.com/channel/UCjeLwTKPMlDt2segkZzw2ZQ)

- [GluonCV](http://gluon-cv.mxnet.io/)

- [GluonNLP](http://gluon-nlp.mxnet.io/)

## 2. Vision

### 2.1 Image Classification

 - 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)

 - 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)

 - 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)

 - [MobileNet V3](https://github.com/AmigoCDT/MXNet-MobileNetV3)

 - 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)

 - [DPN](https://github.com/cypw/DPNs)

 - [CapsNet](https://github.com/Soonhwan-Kwon/capsnet.mxnet)

 - [NASNet-A(Gluon:star:)](https://github.com/qingzhouzhen/incubator-mxnet/blob/nasnet/python/mxnet/gluon/model_zoo/vision/nasnet.py)

 - [CRU-Net](https://github.com/cypw/CRU-Net)

 - [ShuffleNet v1/v2](https://github.com/Tveek/mxnet-shufflenet)

 - [**IGCV3**](https://github.com/homles11/IGCV3)

 - [SqeezeNet](https://github.com/miaow1988/SqueezeNet_v1.2)

 - [FractalNet](https://github.com/newuser-16824/mxnet-fractalnet)

 - [BMXNet](https://github.com/hpi-xnor/BMXNet)

 - [**BMXNet v2**](https://github.com/hpi-xnor/BMXNet-v2)

 - [fusenet](https://github.com/zlmzju/fusenet)

 - [Self-Norm Nets](https://github.com/Ldpe2G/DeepLearningForFun/tree/master/Mxnet-Scala/SelfNormNets)

 - [Factorized-Bilinear-Network](https://github.com/lyttonhao/Factorized-Bilinear-Network)

 - [AOGNet](https://github.com/xilaili/AOGNet)

 - [NonLocal+SENet](https://github.com/WillSuen/NonLocalandSEnet)

 - [mixup](https://github.com/unsky/mixup)

 - [sparse-structure-selection](https://github.com/TuSimple/sparse-structure-selection)

 - [neuron-selectivity-transfer](https://github.com/TuSimple/neuron-selectivity-transfer)

 - [L-GM-Loss](https://github.com/LeeJuly30/L-GM-Loss-For-Gluon)

 - [**CoordConv**](https://github.com/ZwX1616/mxnet-CoordConv)

 - [IBN-Net](https://github.com/bruinxiong/IBN-Net.mxnet)

 - [Mnasnet](https://github.com/chinakook/Mnasnet.MXNet) [[pretrained model]](https://github.com/zeusees/Mnasnet-Pretrained-Model)

 - [**CompetitiveSENet**](https://github.com/scut-aitcm/CompetitiveSENet)

 - [Residual-Attention-Network](https://github.com/haoxintong/Residual-Attention-Network-Gluon)

 - [SNAIL](https://github.com/seujung/SNAIL-gluon)

 - [DropBlock](https://github.com/chenzx921020/DropBlock-mxnet)

 - [DropBlock(c++ implementaion)](https://github.com/yuyijie1995/dropblock_mxnet_bottom_implemention)

 - [Modified-CBAMnet](https://github.com/bruinxiong/Modified-CBAMnet.mxnet)

 - [**OctConv**](https://github.com/facebookresearch/OctConv)

 - [tasn](https://github.com/researchmm/tasn)

 - 3rdparty Resnet/Resnext/Inception/Xception/Air/DPN/SENet [pretrained models](https://github.com/soeaver/mxnet-model)

 - Collection of [pretrained models (Gluon:star:)](https://github.com/osmr/imgclsmob)

 ### 2.2 Object Detection

 - [PVANet](https://github.com/apache/incubator-mxnet/pull/7786)

 - 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)

 - [DSOD](https://github.com/leocvml/DSOD-gluon-mxnet)

 - 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)

 - 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)

 - [**Deformable-ConvNets**](https://github.com/msracver/Deformable-ConvNets) with Faster RCNN/R-FCN/FPN/SoftNMS and Deeplab

 - [**Deformable-ConvNets v2**](https://github.com/msracver/Deformable-ConvNets/tree/master/DCNv2_op)

 - [**Relation-Networks**](https://github.com/msracver/Relation-Networks-for-Object-Detection) with FPN

 - [FPN-gluon-cv](https://github.com/Angzz/fpn-gluon-cv)

 - [FCIS](https://github.com/msracver/FCIS)

 - [Mask R-CNN](https://github.com/TuSimple/mx-maskrcnn)

 - [SqueezeDet](https://github.com/alvinwan/squeezeDetMX)

 - [IOULoss](https://github.com/wcj-Ford/IOULoss)

 - [FocalLoss(CUDA)](https://github.com/yuantangliang/softmaxfocalloss)

 - [dspnet](https://github.com/liangfu/dspnet)

 - [Faster_RCNN_for_DOTA](https://github.com/jessemelpolio/Faster_RCNN_for_DOTA)

 - [RoITransformer](https://github.com/dingjiansw101/RoITransformer_DOTA)

 - [cascade-rcnn-gluon(Gluon:star:)](https://github.com/lizhenbang56/cascade-rcnn-gluon)

 - [**SNIPER**](https://github.com/mahyarnajibi/SNIPER) with R-FCN-3K and SSH Face Detector

 - [Car-Detector-and-Tracker](https://github.com/YvesHarrison/Car-Detector-and-Tracker-Using-MXNet-and-KCF)

 - [detnet](https://github.com/BigDeviltjj/mxnet-detnet)

 - [CornerNet](https://github.com/BigDeviltjj/mxnet-cornernet)

 - [GroupNormalization](https://github.com/JaggerYoung/mxnet-GroupNormalization)

 - [faster-rcnn-rotate](https://github.com/shihan19911126/mxnet-faster-rcnn-rotate)

 - [Detection and Recognition in Remote Sensing Image](https://github.com/whywhs/Detection_and_Recognition_in_Remote_Sensing_Image)

 - [**simpledet**](https://github.com/TuSimple/simpledet) with FP16 and distributed training

 - [**FCOS**](https://github.com/Angzz/fcos-gluon-cv)

 - [Cascade RCNN](https://github.com/zzdang/cascade_rcnn_gluon)

 ### 2.3 Image Segmentation

 - [FCN](https://github.com/dmlc/gluon-cv/blob/master/gluoncv/model_zoo/fcn.py)

 - 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)

 - U-Net [[gluon]](https://github.com/chinakook/U-Net) [[kaggle dstl]](https://github.com/u1234x1234/kaggle-dstl-satellite-imagery-feature-detection)

 - [SegNet](https://github.com/solin319/incubator-mxnet/tree/solin-patch-segnet)

 - [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)

 - [DUC](https://github.com/TuSimple/TuSimple-DUC)

 - [ResNet-38](https://github.com/itijyou/ademxapp)

 - [SEC](https://github.com/ascust/SEC-MXNet)

 - [**DRN**](https://github.com/zhuangyqin/DRN)

 - [panoptic-fpn](https://github.com/Angzz/panoptic-fpn-gluon)

 - [AdaptIS](https://github.com/saic-vul/adaptis)

 ### 2.4 Video Recognition and Object Detection

 - [Deep Feature Flow](https://github.com/msracver/Deep-Feature-Flow)

 - [Flow-Guided Feature Aggregation](https://github.com/msracver/Flow-Guided-Feature-Aggregation)

 - [st-resnet](https://github.com/jay1204/st-resnet)

 ### 2.5 Face Detection and Recognition

 - [MXNet Face](https://github.com/tornadomeet/mxnet-face)

 - MTCNN [[w/ train]](https://github.com/Seanlinx/mtcnn) [[caffe]](https://github.com/pangyupo/mxnet_mtcnn_face_detection)

 - Tiny Face [[w/ train]](https://github.com/IIMarch/tiny-face-mxnet) [[matconvnet]](https://github.com/chinakook/hr101_mxnet)

 - [S3FD](https://github.com/zunzhumu/S3FD)

 - [S3FD-gluoncv](https://github.com/yangfly/sfd.gluoncv)

 - [SSH](https://github.com/deepinsight/mxnet-SSH)

 - [FaceDetection-ConvNet-3D](https://github.com/tfwu/FaceDetection-ConvNet-3D)

 - [DeepID v1](https://github.com/AihahaFox/deepid-mxnet)

 - Range Loss [[CustomOp]](https://github.com/ShownX/mxnet-rangeloss) [[gluon]](https://github.com/LeeJuly30/RangeLoss-For-Gluno)

 - [Convolutional Sketch Inversion](https://github.com/VinniaKemala/sketch-inversion)

 - [Face68Pts](https://github.com/LaoDar/mxnet_cnn_face68pts)

 - [DCGAN face generation(Gluon:star:)](https://github.com/dbsheta/dcgan_face_generation)

 - [**InsightFace**](https://github.com/deepinsight/insightface)

 - [Modified-CRUNet+Residual-Attention-Network](https://github.com/bruinxiong/Modified-CRUNet-and-Residual-Attention-Network.mxnet)

 - [LightCNN](https://github.com/ly-atdawn/LightCNN-mxnet)

 - [E2FAR](https://github.com/ShownX/mxnet-E2FAR)

 - [FacialLandmark](https://github.com/BobLiu20/FacialLandmark_MXNet)

 - [batch_hard_triplet_loss](https://github.com/IcewineChen/mxnet-batch_hard_triplet_loss)

 - [facial-emotion-recognition](https://github.com/TalkAI/facial-emotion-recognition-gluon)

 - [RSA(prediction only)](https://github.com/ElegantGod/RSA-for-object-detection-mxnet-version)

 - [gender_age_estimation_mxnet](https://github.com/wayen820/gender_age_estimation_mxnet)

 - [Ringloss](https://github.com/haoxintong/Ringloss-Gluon)

 - [gluon-face](https://github.com/THUFutureLab/gluon-face)

 - [age-gender-estimation](https://github.com/deepinx/age-gender-estimation)

 - [iqiyi-vid-challenge 1st code](https://github.com/deepinx/iqiyi-vid-challenge)

 - [sdu-face-alignment](https://github.com/deepinx/sdu-face-alignment)

 - [PyramidBox](https://github.com/JJXiangJiaoJun/gluon_PyramidBox)

 - [A-Light-and-Fast-Face-Detector-for-Edge-Devices](https://github.com/YonghaoHe/A-Light-and-Fast-Face-Detector-for-Edge-Devices)

 ### 2.6 ReID

 - [rl-multishot-reid](https://github.com/TuSimple/rl-multishot-reid)

 - [DarkRank](https://github.com/TuSimple/DarkRank)

 - [reid_baseline_gluon](https://github.com/L1aoXingyu/reid_baseline_gluon)

 - [beyond-part-models](https://github.com/Tyhye/beyond-part-models-gluon)

 - [**gluon-reid**](https://github.com/xiaolai-sqlai/gluon-reid)

 ### 2.7 Human Analyzation and Activity Recognition

 - [Head Pose](https://github.com/LaoDar/cnn_head_pose_estimator)

 - [Convolutional Pose Machines](https://github.com/li-haoran/mxnet-convolutional_pose_machines_Testing)

 - [Realtime Multi-Person Pose Estimation](https://github.com/dragonfly90/mxnet_Realtime_Multi-Person_Pose_Estimation)

 - [Realtime Multi-Person Pose Estimation (Gluon :star:)](https://github.com/ThomasDelteil/MultiPoseEstimation_MXNet)

 - [OpenPose](https://github.com/kohillyang/mx-openpose)

 - [Dynamic pose estimation](https://github.com/gengshan-y/dyn_pose)

 - [LSTM for HAR](https://github.com/Ldpe2G/DeepLearningForFun/tree/master/Mxnet-Scala/HumanActivityRecognition)

 - [C3D](https://github.com/JaggerYoung/C3D-mxnet)

 - [P3D](https://github.com/IIMarch/pseudo-3d-residual-networks-mxnet)

 - [DeepHumanPrediction](https://github.com/JONGGON/DeepHumanPrediction)

 - [Reinspect](https://github.com/NoListen/mxnet-reinspect)

 - [COCO Human keypoint](https://github.com/wangsr126/mxnet-pose)

 - [R2Plus1D](https://github.com/starsdeep/R2Plus1D-MXNet)

 - [CSRNet](https://github.com/wkcn/CSRNet-mx)

 ### 2.8 Image Enhancement

 - [**learning-to-see-in-the-dark**](https://github.com/anzhao0503/learning-to-see-in-the-dark.mxnet)

 - SRCNN [[1]](https://github.com/Codersadis/SRCNN-MXNET) [[2]](https://github.com/galad-loth/SuperResolutionCNN)

 - [**Super-Resolution-Zoo**](https://github.com/WolframRhodium/Super-Resolution-Zoo) MXNet pretrained models for super resolution, denoising and deblocking

 ### 2.9 OCR

 - [SSD Text Detection](https://github.com/oyxhust/ssd-text_detection)

 - [EAST](https://github.com/wangpan8154/east-text-detection-with-mxnet/tree/1a63083d69954e7c1c7ac277cf6b8ed5af4ec770)

 - [**CTPN.mxnet**](https://github.com/chinakook/CTPN.mxnet)

 - 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)

 - [Handwritten OCR CRNN (Gluon :star:)](https://github.com/ThomasDelteil/HandwrittenTextRecognition_MXNet)

 - [PSENet](https://github.com/saicoco/Gluon-PSENet)

 ### 2.10 Point cloud & 3D

 - [mx-pointnet](https://github.com/Zehaos/mx-pointnet) [[gluon version]](https://github.com/hnVfly/pointnet.mxnet)

 - [PointCNN.MX](https://github.com/chinakook/PointCNN.MX)

 - [RC3D](https://github.com/likelyzhao/MxNet-RC3D/blob/master/RC3D/symbols/RC3D.py)

 - [DeepIM](https://github.com/liyi14/mx-DeepIM)

 ### 2.11 Images Generation

 - [pix2pix](https://github.com/Ldpe2G/DeepLearningForFun/tree/master/Mxnet-Scala/Pix2Pix)

 - [Image colorization](https://github.com/skirdey/mxnet-pix2pix)

 - [Neural-Style-MMD](https://github.com/lyttonhao/Neural-Style-MMD)

 - [MSG-Net(Gluon:star:)](https://github.com/zhanghang1989/MXNet-Gluon-Style-Transfer)

 - [fast-style-transfer](https://github.com/SineYuan/mxnet-fast-neural-style)

 - [neural-art-mini](https://github.com/pavelgonchar/neural-art-mini)

 ### 2.12 GAN

 - [DCGAN(Gluon:star:)](https://github.com/kazizzad/DCGAN-Gluon-MxNet)

 - [**CycleGAN**](https://github.com/leocvml/CycleGAN-gluon-mxnet)

 ### 2.13 MRI & DTI

 - [Chest-XRay](https://github.com/kperkins411/MXNet-Chest-XRay-Evaluation)

 - [LUCAD](https://github.com/HPI-DeepLearning/LUCAD)

 ### 2.14 Misc

 - [VisualBackProp](https://github.com/Bartzi/visual-backprop-mxnet)

 - VQA [[sym]](https://github.com/shiyangdaisy23/mxnet-vqa) [[gluon]](https://github.com/shiyangdaisy23/vqa-mxnet-gluon)

 - [Hierarchical Question-Imagee Co-Attention](https://github.com/WillSuen/VQA)

 - [text2image(Gluon:star:)](https://github.com/dbsheta/text2image)

 - [Traffic sign classification](https://github.com/sookinoby/mxnet-ccn-samples)

 - [cicada classification](https://github.com/dokechin/cicada_shell)

 - [geometric-matching](https://github.com/x007dwd/geometric-matching-mxnet)

 - [Loss Surfaces](https://github.com/nicklhy/cnn_loss_surface)

 - [Class Activation Mapping](https://github.com/nicklhy/CAM)

 - [AdversarialAutoEncoder](https://github.com/nicklhy/AdversarialAutoEncoder)

 - [Neural Image Caption](https://github.com/saicoco/mxnet_image_caption)

 - [mmd/jmmd/adaBN](https://github.com/deepinsight/transfer-mxnet)

 - [NetVlad](https://github.com/likelyzhao/NetVlad-MxNet)

 - [multilabel](https://github.com/miraclewkf/multilabel-MXNet)

 - [multi-task](https://github.com/miraclewkf/multi-task-MXNet)

 - [siamese](https://github.com/saicoco/mxnet-siamese)

 - [matchnet](https://github.com/zhengxiawu/mxnet-matchnet)

 - [DPSH](https://github.com/akturtle/DPSH)

 - [Yelp Restaurant Photo Classifacation](https://github.com/u1234x1234/kaggle-yelp-restaurant-photo-classification)

 - [siamese_network_on_omniglot(Gluon:star:)](https://github.com/muchuanyun/siamese_network_on_omniglot)

 - [StrassenNets](https://github.com/mitscha/strassennets)

 - [Image Embedding Learning (Gluon:star:)](https://github.com/chaoyuaw/incubator-mxnet)

 - [DIRNet](https://github.com/HPI-DeepLearning/DIRNet/tree/master/DIRNet-mxnet)

 - [Receptive Field Tool](https://github.com/chinakook/mxnet/blob/kkmaster/python/kktools/rf.py)

 - [mxnet-videoio](https://github.com/MTCloudVision/mxnet-videoio)

 - [AudioDataLoader](https://github.com/gaurav-gireesh/AudioDataLoader)

 - [mxnet_tetris](https://github.com/sunkwei/mxnet_tetris)

 - [Visual Search (Gluon:star:)](https://github.com/ThomasDelteil/VisualSearch_MXNet)

 - [DALI](https://github.com/NVIDIA/DALI)

 - [relational-network-gluon](https://github.com/seujung/relational-network-gluon)

 - [HKO-7](https://github.com/sxjscience/HKO-7) [[weather-forecasting]](https://github.com/igloooo/weather-forecasting-mxnet)

 - [siamfc](https://github.com/forschumi/siamfc-mxnet)

 - [AdvBox](https://github.com/baidu/AdvBox)

 - [SAGE-GRAPH](https://github.com/diyang/SAGE-GRAPH-R)

 - [Memory-Aware-Synapses](https://github.com/mingzhang96/MAS-mxnet)

## 3. NLP

 - [**sockeye**](https://github.com/awslabs/sockeye)

 - [**gluon-nlp**(Gluon:star:)](https://github.com/dmlc/gluon-nlp)

 - [MXNMT](https://github.com/magic282/MXNMT)

 - [Char-RNN(Gluon:star:)](https://github.com/SherlockLiao/Char-RNN-Gluon)

 - [Character-level CNN Text Classification (Gluon:star:)](https://github.com/ThomasDelteil/CNN_NLP_MXNet)

 - [AC-BLSTM](https://github.com/Ldpe2G/AC-BLSTM)

 - seq2seq [[sym]](https://github.com/yoosan/mxnet-seq2seq) [[gluon]](https://github.com/ZiyueHuang/MXSeq2Seq)

 - MemN2N [[sym]](https://github.com/nicklhy/MemN2N) [[gluon]](https://github.com/fanfeifan/MemN2N-Mxnet-Gluon)

 - [Neural Programmer-Interpreters](https://github.com/Cloudyrie/npi)

 - [sequence-sampling](https://github.com/doetsch/sequence-sampling-mxnet)

 - [retrieval chatbot](https://github.com/NonvolatileMemory/baseline_for_chatbot-mxnet)

 - [cnn+Highway Net](https://github.com/wut0n9/cnn_chinese_text_classification)

 - [sentiment-analysis(Gluon:star:)](https://github.com/aws-samples/aws-sentiment-analysis-mxnet-gluon)

 - [parserChiang(Gluon:star:)](https://github.com/linmx0130/parserChiang)

 - [Neural Variational Document Model(Gluon:star:)](https://github.com/dingran/nvdm-mxnet)

 - [NER with  Bidirectional LSTM-CNNs](https://github.com/opringle/named_entity_recognition)

 - [Sequential Matching Network(Gluon:star:)](https://github.com/NonvolatileMemory/MXNET-SMN)

 - [ko_en_NMT(Gluon:star:)](https://github.com/haven-jeon/ko_en_neural_machine_translation)

 - [**Gluon Dynamic-batching**(Gluon:star:)](https://github.com/szha/mxnet-fold)

 - [translatR](https://github.com/jeremiedb/translatR)

 - [RNN-Transducer](https://github.com/HawkAaron/mxnet-transducer)

 - [Deep Biaffine Parser](https://github.com/hankcs/DeepBiaffineParserMXNet)

 - [Crepe model](https://github.com/ThomasDelteil/CNN_NLP_MXNet)

 - [EXAM](https://github.com/bcol23/EXAM-MXNet)

 - [**RegionEmbedding**](https://github.com/zhaozhengChen/RegionEmbedding)

 - [Structured-Self-Attentive-Sentence-Embedding](https://github.com/kenjewu/Structured-Self-Attentive-Sentence-Embedding)

 - [translatR](https://github.com/jeremiedb/translatR)

 - [**BERT-embedding**](https://github.com/imgarylai/bert-embedding)

## 4. Speech

 - [mxnet_kaldi](https://github.com/vsooda/mxnet_kaldi)

 - [**deepspeech**](https://github.com/samsungsds-rnd/deepspeech.mxnet)

 - [wavenet](https://github.com/shuokay/mxnet-wavenet) [[WaveNet-gluon]](https://github.com/seujung/WaveNet-gluon)

 - [Tacotron](https://github.com/PiSchool/mxnet-tacotron)

 - [mxnet-audio](https://github.com/chen0040/mxnet-audio)

## 5. Time series forecasting

 - [LSTNet](https://github.com/opringle/multivariate_time_series_forecasting)

## 6. Spatiotemporal

 - [gluon-spaceTime](https://github.com/D-Roberts/gluon-spaceTime)

## 7. CTR

 - [MXNet for CTR ](https://github.com/CNevd/DeepLearning-MXNet)

 - [CDL](https://github.com/js05212/MXNet-for-CDL)

 - [SpectralLDA](https://github.com/Mega-DatA-Lab/SpectralLDA-MXNet)

 - [DEF(Gluon:star:)](https://github.com/altosaar/deep-exponential-families-gluon)

 - [mxnet-recommender(Gluon:star:)](https://github.com/chen0040/mxnet-recommender)

 - [collaborative_filtering](https://github.com/opringle/collaborative_filtering)

 - [gluon-rank](https://github.com/opringle/gluon-rank)

 - [ncf](https://github.com/xinyu-intel/ncf_mxnet)

## 8. DRL

 - [DRL](https://github.com/qyxqyx/DRL)

 - [DQN(Gluon:star:)](https://github.com/kazizzad/DQN-MxNet-Gluon)

 - [Double DQN(Gluon:star:)](https://github.com/kazizzad/Double-DQN-MxNet-Gluon)

 - [openai-mxnet](https://github.com/boddmg/openai-mxnet)

 - [PPO(Gluon:star:)](https://github.com/dai-dao/PPO-Gluon)

 - [CrazyAra](https://github.com/QueensGambit/CrazyAra)

## 9. Neuro Evolution

 - [galapagos_nao](https://github.com/jeffreyksmithjr/galapagos_nao)

## 10. One Class Learning

 - [anomaly_detection](https://github.com/malykhin/anomaly_detection/blob/master/anomaly_AWS.ipynb)

## 11. Probabilistic Programming

 - [**MXFusion**](https://github.com/amzn/MXFusion)

## 12. Transfer Learning

 - [**xfer**](https://github.com/amzn/xfer)

## 13. Tools

 ### 13.1 Converter

 - [mxnet2tf](https://github.com/vuvko/mxnet2tf)

 - [MMdnn](https://github.com/Microsoft/MMdnn)

 - [onnx-mxnet](https://github.com/onnx/onnx-mxnet)

 - [mxnet_to_onnx](https://github.com/NVIDIA/mxnet_to_onnx)

 - [R-Convert-json-to-symbol](https://github.com/Imshepherd/MxNetR-Convert-json-to-symbol)

 - [**mxnet2ncnn**](https://github.com/Tencent/ncnn/blob/28b35b8c4f3d58feaaaeaa58273b763751827aab/tools/mxnet/mxnet2ncnn.cpp)

 - [Gluon2PyTorch](https://github.com/nerox8664/gluon2pytorch)

 - [Gluon2Keras](https://github.com/nerox8664/gluon2keras)

 ### 13.2 Language Bindings

 - [mxnet.rb](https://github.com/mrkn/mxnet.rb)

 - [mxnet.csharp](https://github.com/yajiedesign/mxnet.csharp)

 - [SiaNet(csharp)](https://github.com/deepakkumar1984/SiaNet)

 - [go-mxnet-predictor](https://github.com/songtianyi/go-mxnet-predictor)

 - [dmxnet](https://github.com/sociomantic-tsunami/dmxnet)

 - [load_op](https://github.com/DuinoDu/load_op.mxnet)

 - [MobulaOP](https://github.com/wkcn/MobulaOP)

 ### 13.3 Visualization

 - [mxbox](https://github.com/Lyken17/mxbox)

 - [mixboard](https://github.com/DrSensor/mixboard)

 - [mxflows](https://github.com/aidan-plenert-macdonald/mxflows)

 - [mxserver](https://github.com/Harmonicahappy/mxserver)

 - [VisualDL](https://github.com/PaddlePaddle/VisualDL)

 - [mxProfileParser](https://github.com/TaoLv/mxProfileParser)

 - [polyaxon](https://github.com/polyaxon/polyaxon) with [examples](https://github.com/polyaxon/polyaxon-examples/tree/master/mxnet/cifar10)

 - [Netron](https://github.com/lutzroeder/Netron)

 - [**mxboard**](https://github.com/awslabs/mxboard)

 - [CalFLOPS](https://github.com/likelyzhao/CalFLOPS-Mxnet)

 ### 13.4 Parallel and Distributed computing

 - [mxnet-rdma](https://github.com/liuchang1437/mxnet-rdma)

 - [RDMA-MXNet-ps-lite](https://github.com/ralzq01/RDMA-MXNet-ps-lite)

 - [MPIZ-MXNet](https://github.com/Shenggan/MPIZ-MXNet)

 - [MXNetOnYARN](https://github.com/Intel-bigdata/MXNetOnYARN)

 - [mxnet-operator](https://github.com/deepinsight/mxnet-operator)

 - [mxnet_on_kubernetes](https://github.com/WorldAITime/mxnet_on_kubernetes)

 - [speculative-synchronization](https://github.com/All-less/mxnet-speculative-synchronization)

 - [XLearning](https://github.com/Qihoo360/XLearning)

 - [Gluon Distributed Training (Gluon:star:)](https://mxnet.indu.ai/tutorials/distributed-training-using-mxnet)

 - [gpurelperf](https://github.com/andylamp/gpurelperf)

 - [horovod](https://github.com/horovod/horovod)

 - [**byteps**](https://github.com/bytedance/byteps)

 ### 13.5 Productivity

 - [Email Monitor MxnetTrain](https://github.com/fierceX/Email_Monitor_MxnetTrain)

 - [mxnet-oneclick](https://github.com/imistyrain/mxnet-oneclick)

 - [mxnet-finetuner](https://github.com/knjcode/mxnet-finetuner)

 - [Early-Stopping](https://github.com/kperkins411/MXNet_Demo_Early-Stopping)

 - [MXNet_Video_Trainer](https://github.com/likelyzhao/MXNet_Video_Trainer)

 - [rs_mxnet_reader](https://github.com/ChenKQ/rs_mxnet_reader)

 ### 13.6 Parameter optimizer

 - [YellowFin](https://github.com/StargazerZhu/YellowFin_MXNet)

 - [**LookaheadOptimizer**](https://github.com/wkcn/LookaheadOptimizer-mx)

 ### 13.7 Deployment

 - [Turi Create](https://github.com/apple/turicreate)

 - [MXNet-HRT](https://github.com/OAID/MXNet-HRT)

 - [Tengine](https://github.com/OAID/Tengine)

 - [Collective Knowledge](https://github.com/ctuning/ck-mxnet)

 - [flask-app-for-mxnet-img-classifier](https://github.com/XD-DENG/flask-app-for-mxnet-img-classifier)

 - [qt-mxnet](https://github.com/mjamroz/qt-mxnet)

 - [mxnet_predict_ros](https://github.com/Paspartout/mxnet_predict_ros)

 - [mxnet-lambda](https://github.com/awslabs/mxnet-lambda)

 - [openHabAI](https://github.com/JeyRunner/openHabAI)

 - ImageRecognizer [[iOS]](https://github.com/dneprDroid/ImageRecognizer-iOS) [[Android]](https://github.com/dneprDroid/ImageRecognizer-Android)

 - [MXNet to MiniFi](https://github.com/tspannhw/nvidiajetsontx1-mxnet)

 - [MXNet Model Serving ](https://github.com/yuruofeifei/mms)

 - [mxnet-model-server](https://github.com/awslabs/mxnet-model-server)

 - [tvm-mali](https://github.com/merrymercy/tvm-mali)

 - [mxnet-and-sagemaker](https://github.com/cosmincatalin/object-counting-with-mxnet-and-sagemaker)

 - [example-of-nnvm-in-cpp](https://github.com/zhangxinqian/example-of-nnvm-in-cpp)

 - [tensorly](https://github.com/tensorly/tensorly)

 - [OpenVINO](https://software.intel.com/en-us/openvino-toolkit/documentation/featured)

 ### 13.8 Other Branches

 - [ngraph-mxnet](https://github.com/NervanaSystems/ngraph-mxnet)

 - [distributedMXNet](https://github.com/TuSimple/distributedMXNet)