Popular GitHub Repositories for Heroku Deployment

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.

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.

Fast model deployment on any cloud ?

A Machine Learning and Deep Learning based webapp used to predict multiple diseases.

Using the GPT3 Language model, I create a web application that generates convincing looking emails and then sends them via Gmail. The user interacts with a frontend made with Streamlit

A React, Flask and Machine Learning based web application for Crop and Fertilizer Recommendation

This repository contains instructions, template source code and examples on how to serve/deploy machine learning models using various frameworks and applications such as Docker, Flask, FastAPI, BentoML, Streamlit, MLflow and even code on how to deploy your machine learning model as an android app.

A Flask, React and Machine Learning based web application for movie recommendation and sentiment analysis on movie reviews.

A web app that classifies text as a spam or ham. I am using my own ML algorithm in the backend, Code to that can be found under machine_learning_section. For Live Demo: Checkout this link

Source based extractive summarizer web-app and chatbot.

The project is a concoction of research (audio signal processing, keyword spotting, ASR), development (audio data processing, deep neural network training, evaluation) and deployment (building model artifacts, web app development, docker, cloud PaaS) by integrating CI/CD pipelines with automated tests and releases.

This web application is basically a system which uses face recognition to login to any account. People can use this login application for various websites or web applications. It also has provision for registering face for new entries.

This project aims to develop a machine learning model that predicts the demand for bike sharing in a given location. By analyzing historical data on weather conditions, day of the week, and other factors, we aim to create a model that can accurately forecast the number of bikes that will be rented at different times.

Web app using Streamlit with a deep learning based back-end for food item name prediction from images and deploying the model in Heroku cloud.

Easily Deploy your Tensorflow models to Heroku with just the click of a button!

Revolutionize your farming with Farmwiser, the ultimate TinyML based Smart Agriculture solution!

Prediction of Diabetes using Machine Learning & deployment of same on Heroku

An example showcasing the deployment of a PyTorch model using Flask on Heroku.

WebApp using Flask with Google Colab of MNIST model Deploy

Computer Vision Algorithm receiving a Street-Level Picture and Predicting the City it has been shot in. Jump to the README, have a look at the code, and then try it yourself.