AI Observability & Evaluation

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

An AI-powered threat modeling tool that leverages OpenAI's GPT models to generate threat models for a given application based on the STRIDE methodology.

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.

An end to end demo of Google's Cloud data and analytic stack.

python jupyter notebook tutorials

Minimalist LLM Framework in 100 Lines. Enable LLMs to Program Themselves.

A straightforward method for training your LLM, from downloading data to generating text.

Build resilient language agents as graphs.

Create your own AI copilot using v-Core-based Azure Cosmos DB for MongoDB and Azure OpenAI

the LLM vulnerability scanner

A financial agent for investment research

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

ROSA 🤖 is an AI Agent designed to interact with ROS1- and ROS2-based robotics systems using natural language queries. ROSA helps robot developers inspect, diagnose, understand, and operate robots.

Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations

A collection of notebooks/recipes showcasing usecases of open-source models with Together AI.

Hands on workshop and design scenarios for Amazon DynamoDB

Sample code and notebooks for Generative AI on Google Cloud

My personal work with Copilot for Security

This repos contains notebooks for the Advanced Solutions Lab: ML Immersion

Hack Together: RAG Hack | Register, Learn, Hack

🏅 Collection of Kaggle Solutions and Ideas 🏅

A python tool that uses GPT-4, FFmpeg, and OpenCV to automatically analyze videos, extract the most interesting sections, and crop them for an improved viewing experience.