KitanaQA: Adversarial training and data augmentation for neural question-answering models
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Updated
Jul 23, 2023 - Python
KitanaQA: Adversarial training and data augmentation for neural question-answering models
NAOMI: Network AI Workflow Democratization
Research-X aims to optimize the workflow of researchers through the integration of LLMs for several different purposes
This repository contains my ongoing work on a Candy Crush game automation and board analysis project. So far, I have mainly focused on the initial image-processing and board extraction stage, which is the foundation required before implementing move detection and automated gameplay logic.
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