Introducing OpenFatigue

OpenFatigue is a new open-source AI model that aims to detect and mitigate the negative consequences of overfitting in deep learning models. Overfitting occurs when a model is too complex and fits the training data too closely, resulting in poor performance on new, unseen data. OpenFatigue uses a novel approach to detect overfitting by monitoring the model's performance on a validation set and adjusting the training process accordingly. The model is designed to be modular and can be easily integrated into existing deep learning frameworks. OpenFatigue has been tested on several popular deep learning benchmarks and has shown promising results in reducing overfitting and improving model performance.