mirror/cube-studio
2
0
Fork 0
mirror of https://github.com/tencentmusic/cube-studio.git synced 2024-11-21 01:16:33 +08:00
Code Issues Packages Projects Releases Wiki Activity

add readme_cn

Browse Source
This commit is contained in:
pengluan 2022-08-03 11:38:35 +08:00
parent 788592582e
commit c5d7f8b99e
1 changed files with 5 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

10
README.md
View File

@ -7,11 +7,11 @@ English | [简体中文](README_CN.md)
![image](https://user-images.githubusercontent.com/20157705/167534673-322f4784-e240-451e-875e-ada57f121418.png)
cube-studio is a one-stop cloud-native machine learning platform open sourced by Tencent Music, Currently mainly includes the following functions:
- 1、data management：Feature Store: Online and offline features；Dataset management，structure data and media data，Label Platform；
- 2、develop: notrbook(vscode/jupyter); docker Image management; image build online；
- 3、train：Pipeline Drag and drop online; Open Template Market; Distributed computing/training tasks, example tf/pytorch/mxnet/spark/ray/horovod/kaldi/volcano; batch priority scheduling; Resource Monitoring Alarm Balancing；Cron Scheduling
- 4、Hyperparameter Search：nni，katib，ray；
cube-studio is a one-stop cloud-native machine learning platform open sourced by Tencent Music, Currently mainly includes the following functions
- 1、data management：Feature Store: Online and offline features; Dataset management, structure data and media data, Data Label Platform
- 2、develop: notrbook(vscode/jupyter); docker Image management; image build online
- 3、train：Pipeline Drag and drop online; Open Template Market; Distributed computing/training tasks, example tf/pytorch/mxnet/spark/ray/horovod/kaldi/volcano; batch priority scheduling; Resource Monitoring Alarm Balancing; Cron Scheduling
- 4、Hyperparameter Search：nni, katib, ray
- 5、inference：model manager; serverless traffic control; tf/pytorch/onnx/tensorrt model deploy, tfserving/torchserver/onnxruntime/triton inference; VGPU; Load Balancing、High availability、Elastic scaling
- 6、infra：Multi-user;Multi-project; Multi-cluster; Edge Cluster Mode; blockchain sharing;