Created for this model trained by Gustavosta for Stable Diffusion to create a prompt from a few words. You can submit your own text or select from provided examples.

MNIST Classification using Neural Network and Back Propagation. Written in Python and depends only on Numpy

Tesseract Language Trained Data

Largest Trained Dataset for SupplyChain

A tool that analyzes the overall sentiment of customer reviews for a specific product or service, whether it's positive or negative.

EurekaQA is a Question & Answering Model that has been trained by Kaludi to analyze text data and automatically answer questions based on the information contained within.