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Stars gained: From Apr 26, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 3, 2026, each from zero0100Apr 26Nov 3, 2026aws/amazon-sagemaker-examplesmicrosoft/tensorwatch
Stars: The star count at the end of each dayStarsThe star count at the end of each day5K10KApr 25Nov 3, 2026aws/amazon-sagemaker-examplesmicrosoft/tensorwatch

Facts

Factaws/amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

microsoft/tensorwatch

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Stars11,0013,479
Net stars, last 30 days+21+8
Largest star day+4 on May 23, 2026+3 on Oct 9, 2026
Milestone reached in the recordNoneNone
Forks6,942362
LanguageJupyter NotebookJupyter Notebook
LicenseAPACHE-2.0MIT
CreatedOct 23, 2017May 15, 2019
Last pushOct 14, 2026Mar 30, 2026
ArchivedNoNo
Health facts: Maintenance2 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases2 of 3 checks (1 without data)0 of 3 checks (2 without data)
Health facts: Security practice0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeksNo dataNo data
Weeks with commits, last 52No dataNo data
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: reinforcement-learning, machine-learning, deep-learning, jupyter-notebook, data-science. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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