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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.

Easily generate captivating product descriptions using product features and additional sources of information like customer reviews or usage instructions.

Efficient streaming data ingestion, transformation & activation

Chatbot that uses Gemini-1.0-Pro to answer questions, with memory by using LangChain. Also, it's enriched by RAG and deployed in Dialogflow

An end to end anime recommendation system based on data scrapped from myanimelist.net

Collection of OSS models that are containerized into a serving container

🔍 GemInsights: Unleash Gemini AI on your data! 🚀 Analyze dataframes for valuable insights, replacing traditional data analysis. 📊 A cutting-edge tool revolutionizes the way you analyze dataframes, offering a paradigm shift from conventional data analysis methods.

Template for multi-modal machine learning in healthcare using Kedro. Combine reports, tabular data and images using various fusion methods.

Python library that allows you to get structured responses in the form of Pydantic models and Python types from Google's Vertex AI and OpenAI models

Boilerplate code for setting up a Kubeflow pipeline to run in Cloud Vertex AI Pipelines.

A Telegram Bot about Brock , Fine tuned with the help of Gemini 1.5 pro

Public reusable components for Polyaxon

Template repository for building Streamlit chatbots

An example of TFX intended to work with Vertex AI in Google Cloud

A quick and easy way to send request to the gemini-pro and gemini-pro-vision LLM API

4 chatbots with memory made with Langchain, VertexAI and Gemini, as a cyber challenge to capture and expose RAG content.

A collection of apps and projects that interact with Google Cloud APIs.

3D CNN based video classification android application. Transcribes lip movements of the speaker in a silent video to text. The neural network captures spatio temporal information from video required to generate words from video. MLOps using Vertex AI was used to deploy the model in a CI/CD fashion on android app