For me, the goal of this project was to handle transformers fine tuning by implementing and applying optimization training techniques using limited computational resources.

GPU memory-efficient training for PyTorch - 90%+ memory savings through gradient compression

A production-ready adaptive meta-learning framework for continuous self-improvement. airbornehrs (MirrorMind) is a lightweight PyTorch framework that turns standard deep learning models into self-improving systems.