A curated list of MXNet examples, tutorials and blogs. It is inspired by awesome-caffe.
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
- 2. Vision
- 3. NLP
- 4. Speech
- 5. Time series forecasting
- 6. CTR
- 7. DRL
- 8. Neuro Evolution
- 9. Tools
1. Tutorials and Resources
- incubator-mxnet-site
- Tutorial Documentation
- Gluon Tutorial Documentation
- Gluon Tutorial Documentation (Simplified Chinese)
- Gluon Api
- CheatSheet
- Using MXNet
- TVM Documentation
- NNVM Documentation
- Linalg examples
- NNVM Vison Demo
- im2rec_tutorial
- MXNet Blog (zh)
- MXNet Discuss Forum
- r/mxnet subreddit
- Apache MXNet youtube channel
- Apache MXNet youtube channel (chinese)
- GluonCV
- GluonNLP
2. Vision
2.1 Image Classification
- ResNet
- DenseNet
- Multi-GPU Multi-Label DenseNet (Gluon
⭐ )- efficient_densenet(Gluon
⭐ )- DPN
- SENet
- SENet(from Caffe)
- CapsNet
- NASNet-A(Gluon
⭐ )- CRU-Net
- MobileNet
- MobileNetV2(Gluon
⭐ )- MobileNetV2(TVM Supported)
- ShuffleNet
- Xception
- Xception+Keras2MXNet
- SqeezeNet
- FractalNet
- BMXNet
- fusenet
- Self-Norm Nets
- Factorized-Bilinear-Network
- AOGNet
- NonLocal+SENet
- mixup
- mxnet-model
- kaggle_CIFAR10
- sparse-structure-selection
- neuron-selectivity-transfer
- L-GM-Loss
2.2 Object Detection
- PVANet
- SSD
- SSD+Focal Loss
- SSD+FPN
- DSSD+TDM
- YOLO/YOLOv2
- YOLO(Gluon
⭐ )- YOLO/dark2mxnet
- Faster RCNN
- Faster RCNN(Gluon
⭐ )- Faster RCNN+Deeplab+R-FCN+Deformable-ConvNets+FPN+SoftNMS
- FCIS
- Mask R-CNN
- Faster RCNN+Focal Loss
- RetinaNet
- SqueezeDet
- IOULoss
- FocalLoss(CUDA)
- Light-Head R-CNN
- dspnet
- Faster_RCNN_for_DOTA
- cascade-rcnn-gluon(Gluon
⭐ )
2.3 Image Segmentation
2.4 Video Recognition and Object Detection
2.5 Face Detection and Recognition
2.6 ReID
2.7 Human Pose Estimation and Activity Recognition
2.8 Image Super-resolution
2.9 OCR
2.10 Point cloud & 3D
2.11 Images Generation
2.12 GAN
2.13 MRI & DTI
2.14 Misc
- VisualBackProp
- VQA
- VQA(Gluon
⭐ )- Hierarchical Question-Imagee Co-Attention
- text2image(Gluon
⭐ )- Traffic sign classification
- cicada classification
- geometric-matching
- Loss Surfaces
- Class Activation Mapping
- AdversarialAutoEncoder
- Neural Image Caption
- mmd/jmmd/adaBN
- NetVlad
- multilabel
- multi-task
- siamese
- matchnet
- DPSH
- Yelp Restaurant Photo Classifacation
- siamese_network_on_omniglot(Gluon
⭐ )- StrassenNets
- Image Embedding Learning (Gluon
⭐ )- DIRNet
- Receptive Field Tool
- mxnet-videoio
- mxnet_tetris
- Visual Search (Gluon
⭐ )
3. NLP
- sockeye
- MXNMT
- Char-RNN(Gluon
⭐ )- Character-level CNN Text Classification (Gluon
⭐ )- AC-BLSTM
- mxnet-seq2seq
- MXSeq2Seq(Gluon
⭐ )- MemN2N
- MemN2N(Gluon
⭐ )- Neural Programmer-Interpreters
- sequence-sampling
- retrieval chatbot
- multi-attention(Gluon
⭐ )- cnn+Highway Net
- sentiment-analysis(Gluon
⭐ )- parserChiang(Gluon
⭐ )- Neural Variational Document Model(Gluon
⭐ )- NER with Bidirectional LSTM-CNNs
- Sequential Matching Network(Gluon
⭐ )- ko_en_NMT(Gluon
⭐ )- Gluon Dynamic-batching(Gluon
⭐ )- translatR
- RNN-Transducer
- RNN-Transducer(RNNT loss using CPP)
- gluon-nlp(Gluon
⭐ )
4. Speech
5. Time series forecasting
6. CTR
7. DRL
8. Neuro Evolution
9. Tools
9.1 Converter
9.2 Language Bindings
9.3 Visualization
9.4 Parallel and Distributed computing
9.5 Productivity
9.6 Parameter optimizer
9.7 Deployment
9.8 Compiler