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Showing results for hero hero Vector Vector
GitHub Repo https://github.com/vectordotdev/vector-heroku-buildpack

vectordotdev/vector-heroku-buildpack

(WIP!)
GitHub Repo https://github.com/wpeterson/heroku-vector

wpeterson/heroku-vector

Heroku Vector: Autoscaling Dynos on Heroku
GitHub Repo https://github.com/Azure/Vector-Search-AI-Assistant

Azure/Vector-Search-AI-Assistant

Microsoft Official Build Modern AI Apps reference solutions and content. Demonstrate how to build Copilot applications that incorporate Hero Azure Services including Azure OpenAI Service, Azure Container Apps (or AKS) and Azure Cosmos DB for NoSQL with Vector Search.
GitHub Repo https://github.com/ljosberinn/keystone-heroes

ljosberinn/keystone-heroes

Keystone Heroes provides in-depth analysis for Mythic+ runs based on Warcraft Logs including routes, cooldown usage and other improvement vectors.
GitHub Repo https://github.com/oliwol/filament-rich-editor-heroicons

oliwol/filament-rich-editor-heroicons

A seamless integration for Filament v4/v5 that allows users to insert Heroicons directly into the RichEditor (TipTap). Enhance your content by adding scalable vector icons with a dedicated picker button.
GitHub Repo https://github.com/djakk/openstreetmap-on-heroku

djakk/openstreetmap-on-heroku

Serving vector tiles of OpenStreetMap data on Heroku
GitHub Repo https://github.com/tang-hi/vsHero

tang-hi/vsHero

Vector Search From Zero to Hero
GitHub Repo https://github.com/Azure/Build-Modern-AI-Apps

Azure/Build-Modern-AI-Apps

Microsoft Official Build Modern AI Apps reference solutions and content. Demonstrate how to build Copilot applications that incorporate Hero Azure Services including Azure OpenAI Service, Azure Container Apps (or AKS) and Azure Cosmos DB for NoSQL with Vector Search.
GitHub Repo https://github.com/Ifeoluwa-hub/Heart-Failure-Prediction-and-Deployment-with-Flask-and-Heroku

Ifeoluwa-hub/Heart-Failure-Prediction-and-Deployment-with-Flask-and-Heroku

Cardiovascular diseases are the number 1 cause of death globally, taking an estimated 17.9 million lives each year, which accounts for 31% of all deaths worlwide. Early detection, and managment of cardiovascular diseases can be a great way to manage the fatality rate associated with cardiovascular diseases, and this is where a machine learning model comes in. For the purpose of predicting the risk of a heart failure in patients, I used the Support Vector Classifier to build a machine learning model, and deployed it using Flask and Heroku
GitHub Repo https://github.com/DheerajKumar97/Imdb-Sentiment-Analysis-Flask-Deployment--Heroku

DheerajKumar97/Imdb-Sentiment-Analysis-Flask-Deployment--Heroku

This project is designed to predict IMDB Movie review sentiment analysis and this analysis is used to give feedback about the quality of the movie. This project is implemented using Natural Language processing using bag of words model and other techniques like vectorization to analyze the reviews.