Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations
| Date | Stars |
|---|---|
| 2026-07-31 | 707 |
| 2026-08-03 | 707 |
| 2026-08-06 | 708 |
Today
+1 stars today
This week
— stars this week
This month
— stars this month
Momentum
4.0
growth rate 0.00%/day
<!--- header table --->
<table>
<tr>
<td style="text-align: center">
<a href="https://github.com/statmike/vertex-ai-mlops/blob/main/readme.md">
<img width="32px" src="https://www.svgrepo.com/download/217753/github.svg" alt="GitHub logo">
<br>View on<br>GitHub
</a>
</td>
</tr>
<tr>
<td style="text-align: right">
<b>Share On: </b>
<a href="https://www.linkedin.com/sharing/share-offsite/?url=https://github.com/statmike/vertex-ai-mlops/blob/main/readme.md"><img src="https://upload.wikimedia.org/wikipedia/commons/8/81/LinkedIn_icon.svg" alt="Linkedin Logo" width="20px"></a>
<a href="https://reddit.com/submit?url=https://github.com/statmike/vertex-ai-mlops/blob/main/readme.md"><img src="https://redditinc.com/hubfs/Reddit%20Inc/Brand/Reddit_Logo.png" alt="Reddit Logo" width="20px"></a>
<a href="https://bsky.app/intent/compose?text=https://github.com/statmike/vertex-ai-mlops/blob/main/readme.md"><img src="https://upload.wikimedia.org/wikipedia/commons/7/7a/Bluesky_Logo.svg" alt="BlueSky Logo" width="20px"></a>
<a href="https://twitter.com/intent/tweet?url=https://github.com/statmike/vertex-ai-mlops/blob/main/readme.md"><img src="https://upload.wikimedia.org/wikipedia/commons/5/5a/X_icon_2.svg" alt="X (Twitter) Logo" width="20px"></a>
</td>
</tr>
<tr>
<td style="text-align: right">
<b>Connect With Author On: </b>
<a href="https://www.linkedin.com/in/statmike"><img src="https://upload.wikimedia.org/wikipedia/commons/8/81/LinkedIn_icon.svg" alt="Linkedin Logo" width="20px"></a>
<a href="https://www.github.com/statmike"><img src="https://www.svgrepo.com/download/217753/github.svg" alt="GitHub Logo" width="20px"></a>
<a href="https://www.youtube.com/@statmike-channel"><img src="https://upload.wikimedia.org/wikipedia/commons/f/fd/YouTube_full-color_icon_%282024%29.svg" alt="YouTube Logo" width="20px"></a>
<a href="https://bsky.app/profile/statmike.bsky.social"><img src="https://upload.wikimedia.org/wikipedia/commons/7/7a/Bluesky_Logo.svg" alt="BlueSky Logo" width="20px"></a>
<a href="https://x.com/statmike"><img src="https://upload.wikimedia.org/wikipedia/commons/5/5a/X_icon_2.svg" alt="X (Twitter) Logo" width="20px"></a>
</td>
</tr>
<tr>
<td style="text-align: right">
<a href="https://raw.githubusercontent.com/statmike/vertex-ai-mlops/main/readme.md"><img src="https://www.svgrepo.com/download/5445/download-button.svg" alt="Download icon" width="20px"></a> <a href="https://raw.githubusercontent.com/statmike/vertex-ai-mlops/main/readme.md">Download File</a> <i>(right-click and "Save As")</i>
</td>
</tr>
</table><br/><br/>
---
# MLOps on GCP
Google Cloud's AI platform has evolved through several names — **Cloud ML Engine**, then **AI Platform**, then **Vertex AI**, and as of April 2026, **[Gemini Enterprise Agent Platform](https://cloud.google.com/blog/products/ai-machine-learning/introducing-gemini-enterprise-agent-platform)**. Each renaming reflects an expansion in scope: from custom model training, to a unified ML platform with AutoML and managed notebooks, to the current vision that brings together model building, agent development, orchestration, and governance in a single platform. This repository has tracked that evolution, and its recent content — AI agents with ADK, agent deployment on Agent Engine (formerly Vertex AI Agent Builder), and agentic workflows — reflects exactly where the platform is heading.
While the AI platform is the anchor, this repository reaches across the broader Google Cloud ecosystem. You'll find workflows that integrate BigQuery and BigQuery ML for in-database analytics and AI functions, Dataflow (Apache Beam) and Dataproc (Managed Apache Spark) for batch and streaming inference, Cloud Composer (Airflow) for orchestration, and Cloud Run and GKE for model serving. Database serviceExcerpt of 14,271 characters
Read on GitHub
3.0k
32
19
8
2
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:e598a94dc8d272d6, topic:mlops, name:mlops, readme:mlops
matched fp:e598a94dc8d272d6, topic:deep-learning