This project provides an end-to-end solution for recognizing Arabic handwritten, printed text, and Arabic numbers from images and documents on a given template document. The system efficiently detects ...

04 April 2025, 2:00 pm–4:00 pm How can computational methods help to distinguish between documents in large text corpora? In this workshop we will explore how to use tf-idf (term frequency - inversed ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

In this repository I provide a clean PyTorch model implementation of the paper "Fast multi-language LSTM-based online handwriting recognition" by Carbune et al. (2020) from Google; see this paper.

BabyAGI is a Python project that demonstrates an AI-powered task management system that uses OpenAI and Pinecone APIs to create, prioritize, and execute tasks. The system creates tasks based on the ...

Dr. James McCaffrey of Microsoft Research demonstrates how to fetch and prepare MNIST data for image recognition machine learning problems. Many machine learning problems fall into one of three ...