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| :----- | :---- | :---- |
| linux | base | Custom stand-alone operating environment, free to implement all custom stand-alone functions |
| datax | import export | Import and export of heterogeneous data sources |
| media-download | data processing | Distributed download of media files |
| video-audio | data processing | Distributed extraction of audio from video |
| video-img | data processing | Distributed extraction of pictures from video |
| hadoop | data processing | hdfs,hbase,sqoop,spark client |
| sparkjob | data processing | spark serverless |
| volcanojob | data processing | volcano multi-machine distributed framework |
| ray | data processing | python ray multi-machine distributed framework |
| volcano | data processing | volcano multi-machine distributed framework |
| xgb | machine learning | xgb model training and inference |
| ray-sklearn | machine learning | sklearn based on ray framework supports multi-machine distributed parallel computing |
| pytorchjob-train | model train | Multi-machine distributed training of pytorch |
| horovod-train | model train | Multi-machine distributed training of horovod |
| tfjob | model train | Multi-machine distributed training of tensorflow |
| xgb | machine learning | xgb model training and inference |
| tfjob | deep learning | Multi-machine distributed training of tensorflow |
| pytorchjob | deep learning | Multi-machine distributed training of pytorch |
| horovod | deep learning | Multi-machine distributed training of horovod |
| paddle | deep learning | Multi-machine distributed training of paddle |
| mxnet | deep learning | Multi-machine distributed training of mxnet |
| kaldi | deep learning | Multi-machine distributed training of kaldi |
| tfjob-train | model train | distributed training of tensorflow: plain and runner |
| tfjob-runner | model train | distributed training of tensorflow: runner method |
| tfjob-plain | model train | distributed training of tensorflow: plain method |
| kaldi-train | model train | Multi-machine distributed training of kaldi |
| tf-model-evaluation | model evaluate | distributed model evaluation of tensorflow2.3 |
| tf-offline-predict | model inference | distributed offline model inference of tensorflow2.3 |
| model-offline-predict | model inference | distributed offline model inference of framework |
| deploy-service | model deploy | deploy inference service |
| model-register | model service | register model to platform |
| model-offline-predict | model service | distributed offline model inference of framework |
| deploy-service | model service | deploy inference service |
| media-download | multimedia data processing | Distributed download of media files |
| video-audio | multimedia data processing | Distributed extraction of audio from video |
| video-img | multimedia data processing | Distributed extraction of pictures from video |
| object-detection-on-darknet | machine vision | object-detection with darknet yolov3 |
| ner |natural language | Named Entity Recognition |
# Deploy
[wiki](https://github.com/tencentmusic/cube-studio/wiki/%E5%B9%B3%E5%8F%B0%E5%8D%95%E6%9C%BA%E9%83%A8%E7%BD%B2)