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/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