#Heroku-deployment
Showing 16 of 16 repositories tagged #heroku-deployment, ranked by stars
Integration of React + Webpack + Rails including server-side rendering of React, enabling a better developer experience and faster client performance.
ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
FastAPI Tutorials & Deployment Methods to Cloud and on-prem infrastructures
PostBot 3000 is an open-source project that shows how to build a powerful AI agent and stream responses and generate artifacts. This project makes it easier for anyone looking to implement similar solutions.
:checkered_flag: Learn how to deploy your web application to Heroku from scratch step-by-step in 7 minutes!
A full-stack application showing the power 💪 of KOTLIN. Entire android app + backend Apis written in Kotlin 🔥
This bot is very useful to search books and download them in Telegram
A Streamlit application to play with machine learning models directly from the browser
A discord bot consuming Notion API to add, retrieve data to Notion databases.
Discord bot generating images from given query
A React, Flask and Machine Learning based web application for Crop and Fertilizer Recommendation
A machine learning model in python that recommends the best crop to grow based on Soil composition, Ph level, rainfall and geographical location.
Income Expense Tracker in Django
💸 TradeByte - Stocks Trading Simulation WebApp ( ⚠️ NOT ACTIVELY MAINTAINED )
The aim of this project is to develop a solution using Data science and machine learning to predict the compressive strength of a concrete with respect to the its age and the quantity of ingredients used.
End to end implementation and deployment of Machine Learning Car Price Prediction using python, flask, gunicorn, scikit-Learn, etc. on Heroku web application platform.