This repository implements a hybrid sample generation pipeline for imaging data to extend existing training datasets.

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

4-GPU H800 low-resource post-training optimization project for Qwen3.6-35B-A3B MoE.

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