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One of the biggest barriers to widespread machine learning adoption is the difficulty in collecting a 'good' dataset. There is an overall consensus that a 'good' dataset is a big dataset, but we believe that we can do better. As such the VennData project was created to develop tools to guide in the collection, curation, augmentation and validation of data.
Main repository of Team HYPE🤟 in VeHa-2023 contest (Sergey Melnikov, Elina Kuzmichyova, Maxim Fomin)
A model verifier for finite automata written in C++
A helper desktop tool for UPPAAL model verification application
A model verification project on OctoMap with using UPPAAL tool