Official PyTorch implementation of PSE/PSRN: Fast and efficient symbolic expression discovery through parallelized symbolic enumeration. Evaluates millions of expressions simultaneously on GPU with automated subtree reuse.

Gesture recognition library for Python

Python framework for high quality confidence estimation of deep neural networks, providing methods such as confidence calibration and ordinal ranking

This machine learning project predicts house prices based on diverse features, utilizing a dataset containing historical housing data. With organized directories for data, source code, and models, it provides a foundation for accurate predictions and future enhancements. 🏡📈

This model can detect Grocery Products and return the price values, You can also set the custom price for each product

AI Image Generator is a sleek Streamlit application that transforms your text prompts into unique images using OpenAI’s DALL·E API. Customize image size and generate stunning AI artwork instantly. Perfect for creatives, designers, or anyone wanting to visualize ideas effortlessly.

Predictive Health Analytics for Diabetic Risk Assessment and Personalized Reporting WebApp using Streamlit

Desafio do Bootcamp da DIO: BairesDev - Machine Learning Practitioner

📚 PDF-Based RAG System with Llama3 An AI-powered app using Streamlit, LangChain, and FAISS to let users upload PDFs, process them into embeddings, and query content interactively via Llama3 (ChatGroq API). 🚀

This app predicts the California House Price. Find the link here.

ML_binary classification application, docker image created by circleci_deployed to Heroku container

Performs sentiment analysis on a given corpus of product reviews.

An AI app that predicts mushroom species from images and environmental context.

SSE is the basic model of Seach Engine or what people say "Google Search". The working of the model is based on Wikipedia content and the second part of the program use the words from content and use to learn and train the search for better understanding.

This repository contains code and documentation for participating in the Kaggle competition: Used Car Price Prediction. The goal of the competition is to predict the price of used cars based on various attributes using machine learning models. The project is scored based on the Root Mean Squared Error (RMSE).

Cloud-powered sentiment analysis system for mental health insights using AWS, React, and Streamlit.