vertex-ai
There are 8 repositories under vertex-ai topic.
BerriAI / litellm
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
Language:Python 28846GoogleCloudPlatform / generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
Language:Jupyter Notebook 11557yym68686 / ChatGPT-Telegram-Bot
TeleChat: 🤖️ an AI chat Telegram bot can Web Search Powered by GPT-5, DALL·E , Groq, Gemini 2.5 Pro/Flash and the official Claude4.1 API using Python on Zeabur, fly.io and Replit.
Language:Python 1123- Language:Python 996
This repository compiles code samples and notebooks demonstrating how to use Generative AI on Google Cloud Vertex AI.
Language:Jupyter Notebook 783- Language:TypeScript 557
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.
Language:Jupyter Notebook 495Denis2054 / Transformers-for-NLP-and-Computer-Vision-3rd-Edition
Transformers 3rd Edition
Language:Jupyter Notebook 407An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
Language:Jupyter Notebook 376edgenai / edgen
⚡ Edgen: Local, private GenAI server alternative to OpenAI. No GPU required. Run AI models locally: LLMs (Llama2, Mistral, Mixtral...), Speech-to-text (whisper) and many others.
Language:Rust 357Showcasing Google Cloud's generative AI for marketing scenarios via application frontend, backend, and detailed, step-by-step guidance for setting up and utilizing generative AI tools, including examples of their use in crafting marketing materials like blog posts and social media content, nl2sql analysis, and campaign personalization.
Language:Jupyter Notebook 356- LLMstudio
TensorOpsAI / LLMstudio
Framework to bring LLM applications to production
Language:Python 322 lynnlangit / gcp-essentials
Sample code and notes for my GCP courses on LinkedIn Learning
Language:Jupyter Notebook 246Build MLOps Pipelines in Minutes
Language:Python 239Fraudfinder: A comprehensive lab series on how to build a real-time fraud detection system on Google Cloud
Language:Jupyter Notebook 219cequence-io / openai-scala-client
Scala client for OpenAI API and other major LLM providers
Language:Scala 211google-marketing-solutions / feedgen
Optimise Shopping feeds with Generative AI
Language:TypeScript 199- gemini-ai
gbaptista / gemini-ai
A Ruby Gem for interacting with Gemini through Vertex AI, Generative Language API, or AI Studio, Google's generative AI services.
Language:Ruby 174 mscraftsman / generative-ai
Gemini SDK for .NET and ASP.NET Core enables developers to use Google's state-of-the-art generative AI models to build AI-powered features and applications.
Language:C# 144arunpshankar / Agentic-Workflow-Patterns
Repository demonstrating best practices and patterns for implementing agentic workflows in Python, featuring modular, scalable, and reusable design patterns for intelligent automation.
Language:Python 122- google-cloud-gcp-openai-api
Cyclenerd / google-cloud-gcp-openai-api
🌴 Drop-in replacement REST API for Vertex AI (PaLM 2, Codey, Gemini) that is compatible with the OpenAI API specifications
Language:Jupyter Notebook 102 mhawksey / GeminiApp
GeminiApp is a library that allows integration to Google's Gemini API in your Google Apps Script projects. It allows for mutli-modal prompts, structured conversations and function calling
Language:JavaScript 102olonok69 / LLM_Notebooks
Notebooks and Code about Generative Ai, LLMs, MLOPS, NLP , CV and Graph databases
Language:Jupyter Notebook 96- semantic-segmentation-ml-pipeline
deep-diver / semantic-segmentation-ml-pipeline
Machine Learning Pipeline for Semantic Segmentation with TensorFlow Extended (TFX) and various GCP products
Language:Jupyter Notebook 95 Recrafting Video Ads with Generative AI
Language:TypeScript 92christo-olivier / modelsmith
Python library that allows you to get structured responses in the form of Pydantic models and Python types from Anthropic, Google Vertex AI and OpenAI models
Language:Python 78DigitalProductschool / AI-Makerspace
AI Makerspace: Blueprints for developing AI applications with state-of-the-art technologies.
Language:JavaScript 67FirebaseExtended / compass-ai-travel-planning-sample-flutter
This is a travel demo built in Flutter using Firebase Data Connect and Firebase Genkit to find ideal itineraries from a database of travel plans.
Language:Dart 65- pipeline-editor
Cloud-Pipelines / pipeline-editor
Cloud Pipelines Editor is a web app that allows the users to build and run Machine Learning pipelines without having to set up development environment.
Language:TypeScript 56 - google-gemini-ui
fjosue4 / google-gemini-ui
Basic UI to chat with Google Gemini AI
Language:TypeScript 56 aj-archipelago / cortex
Simplify and accelerate AI-powered application development with structured interfaces to models and powerful prompt execution environments.
Language:JavaScript 55milosgajdos / go-embeddings
Go module for fetching embeddings from embeddings providers
Language:Go 53- adios
🚀 Adios: One-stop solution for Google Ads image assets management
Language:TypeScript 43 rxliuli / openai-api-proxy
Provides the same proxy OpenAI API interface for different LLM models, and supports deployment to any Edge Runtime environment.
Language:TypeScript 43googleapis / python-documentai-toolbox
Document AI Toolbox is an SDK for Python that provides utility functions for managing, manipulating, and extracting information from the document response. It creates a "wrapped" document object from JSON files in Cloud Storage, local JSON files, or output directly from the Document AI API.
Language:Python 42Easily generate captivating product descriptions using product features and additional sources of information like customer reviews or usage instructions.
Language:Python 41
