Shovs LLM OS is a local-first research runtime for studying agents that plan, use tools, remember, verify, and explain what happened.
Perform Hyperparameter tuning on a small Regression problem using TensorFlow 2
My playground for Google's Vertex AI.
Generative AI custom data fine tuning with google cloud vertax ai
This projects aims to demonstrate an MLOps level-2 systems using Kubeflow and Vertex AI. The model is a content-based recommendation system that recommends similar tracks based the artist, song tags, and playcount of the current track.
AI-powered software engineering platform with an extensible LLM and AI agent architecture, code editor, and developer workspace.
DataPilot is a next-generation autonomous data intelligence platform enabling real-time analytics, AutoML, and decision-grade insights at scale. It unifies data ingestion, visualization, and model orchestration through an interactive, no-code pipeline architecture. Powered by Gemini, DataPilot transforms raw data into actionable intelligence wi
Minimal model inference REST API (FastAPI, scikit-learn). Health and predict endpoints, tests, Docker. Project for AI platform components.
A backend service that manages and routes AI prompts safely and efficiently—the kind of tooling an AI Platform team would own.
The repository walks through a Data Scientist focused way of building and deploying Machine Learning models on Google Cloud
Starter stack to self host a Generative AI Platform
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