Popular GitHub Repositories for Affordable Housing

A comprehensive suite of tools, built to liberate science by making the creation, evaluation, and dissemination of research more transparent, affordable, and efficient.

A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered ?

? LitLytics - an affordable, simple analytics platform that leverages LLMs to automate data analysis

A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis and machine learning to predict housing prices in New York Tri-State Area.

Weam helps modern teams adopt AI at scale with clear direction meaningful tools and affordable solutions

The "House Price Prediction" project focuses on predicting housing prices using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, and XGBoost, this project provides an end-to-end solution for accurate price estimation.

MLOps Paris Housing Price Prediction.

Explore this GitHub repository housing 3 versions of Falcon code for text generation. Each version leverages distinct libraries and models, enabling diverse approaches to generating textual responses. Discover the possibilities within!

NLP server housing intent and NER models as well as an LLM agent with long term memory vector store for Ditto assistant clients.

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

SwarmSight is a multi-language blockchain security platform that uses 17+ advanced tools to detect vulnerabilities across Rust, Solidity, Go, C++, and Move. It brings accessible, affordable, and CI/CD-ready automated auditing to developers and organizations.

Open source DIY AI computing platform: Build a powerful RTX 3090 GPU rig under €1,300 for local LLM inference, training, and AI development. Complete with parts list, assembly guide, Ubuntu setup, and remote access configuration. Ideal for students, researchers, and hobbyists wanting affordable AI hardware without cloud dependencies.

In this repository, a regression analysis is conducted using different machine learning and deep learning models. The study is led in order to choose the most suitable model by looking at different characteristics (models tuning, features scaling, etc).

This repo uses Natural Langauage Processing, time series analysis, and ARIMA to explore predictive housing trend analysis.

Leveraged Machine Learning to perform Time Series Analysis and forecast housing prices in Miami-Dade County. The end goal was to identify and recommend the top 5 zip codes that are predicted to see the highest growth in average home value.

Time Series Forecasting of the housing price in Queens using the SARIMA, Facebook Prophet, and the LSTM

FoxTrend uses advanced machine learning to provide insightful stock price forecasts and comprehensive company information. The platform also offers additional features, such as car price prediction, loan approval assessment, and housing price estimation.

This repository will contain the code of an end to end ML project of House Price prediction and Housing Property recommendation as per the data scrapped from Magicbricks.com

Bayesian Market Segmentation Algorithm for Hedonic Analysis