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aws/amazon-sagemaker-examples

dying

Example ๐Ÿ““ Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ๐Ÿง  Amazon SageMaker.

awsdata-sciencedeep-learningexamplesinferencejupyter-notebookmachine-learningmlops
Velocity score
0.00/ 10
[STARS]
11k
[FORKS]
7.0k
[CONTRIBUTORS]
0
[LAST_COMMIT]
13d ago
OPEN_ON_GITHUB
Velocity class: dying
30-day stars
0.00/ 10 score
last 31d
[SIGNAL_TRACE / 31_PT]
Score breakdown
496/ 1000
inference ยท aws/amazon-sagemaker-examples
Velocity50%
Adoption30%
Maintenance15%
Community5%
[CODE_GROWTH]
421
[INSTALL_VEL]
498
[ACTIVITY]
907
[COMMUNITY_SIGNAL]
0

Terminal score: 0โ€“1000 raw, weighted across 4 dimensions. Public score: 0โ€“10 normalized (shown in the 30-day stars chart above).

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