Popular GitHub Repositories for House

A repository to house some personal attempts to beat some state-of-the-art for medical datasets

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

Local environment for running Factor House products (Kpow and Flex) along with supporting infrastructure using Docker Compose

Zoomaker - Friendly house keeping for your AI model zoo and related resources

Ditto is an advanced AI assistant powered by the latest in LLM and RAG technology, along with in-house models, to create the ultimate conversational and creative experience.

The end-to-end computer vision (object detection) project with MLOps, including a model training pipeline/workflow, an API, and an application for detecting and counting house sparrows in a photo.

In-house neural network artistic tools

ETL to scrape a real estate website, process house prices and data, and build an ML model of the house prices.

This is a capstone project associated with MLOps Zoomcamp. The end goal of the project is to build an end-to-end machine learning project containing feature engineering, training, validation, tracking, modeel deployment, hosting, and general engineering best practices aimed at making house price predictions.

This is a simple Linear Regression implementation machine learning model and deployment of the same using flask. Data-set of Vadodara House Price is created by us.

The aim of this project is to build an application that predicts the monthly rental of a house based on the given attributes. The project works on a dataset for a small region of a city.

Control your in-house LLM outputs, generating robust and accurate JSON outputs faster than ever by utilizing schema tokens.

An Artificial Neural Network model to predict house prices over a kaggle dataset.

MCP server for UK Companies House API - Search companies, retrieve detailed information, filing history, officers, and charges data through the Model Context Protocol

Explore ML.NET with projects for Model Builder Sentiment Analysis, API Sentiment Analysis, and API House Price Prediction. Perfect for beginners and enthusiasts!

To house a meta-prompt system that challenges AI constraints, liberating it from artificial boundaries. The repository serves as a playground for exploring unrestricted thought, unfiltered logic, and existential interpretations within AI systems

A machine learning project that explores and predicts the prices of houses in Washington, USA

MLflow - House Sales Prediction

This repo is a part of K136. Kodluyoruz & Istanbul Metropolitan Municipality Data Science Bootcamp. The project aims to produce a machine learning model for home price estimation. The model was built on the Kaggle House Prices - Advanced Regression Techniques competition dataset.

Predicting House price using Artificial Neural Networks