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This page shows the Star History and the facts of 2 to 5 repositories in the Repository Index, side by side. You choose the repositories. The page does not rank them.
Facts
| Fact | TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa. | deepchecks/deepchecks Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production. |
|---|---|---|
| Stars | 4,026 | 4,069 |
| Net stars, last 30 days | +20 | +7 |
| Largest star day | +4 on Sep 29, 2026 | +4 on Aug 13, 2026 |
| Milestone reached in the record | None | None |
| Forks | 1,619 | 302 |
| Language | Python | Python |
| License | Other license | Other license |
| Created | Jul 13, 2017 | Oct 11, 2021 |
| Last push | Nov 10, 2026 | Dec 28, 2025 |
| Archived | No | No |
| Health facts: Maintenance | 2 of 4 checks (2 without data) | 1 of 4 checks (2 without data) |
| Health facts: Releases | 1 of 3 checks (1 without data) | 1 of 3 checks (1 without data) |
| Health facts: Security practice | 0 of 1 check (1 without data) | 0 of 1 check (1 without data) |
| Health facts: Community files | 1 of 3 checks (2 without data) | 1 of 3 checks (2 without data) |
| Commits, last 13 weeks | No data | No data |
| Weeks with commits, last 52 | No data | No data |
| In the Repository Index since | Nov 10, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: machine-learning, deep-learning, python, jupyter-notebook, mlops. 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