alchemist-meta-gradient-selection

Select optimal training subsets for T2I models through meta-gradient-based rater networks. Score each sample based on gradient influence on validation performance without retraining. Implement shift-Gaussian pruning excluding high-scoring samples. Achieve 5× training speedup with 50% subset outperforming full dataset.

Independent GitHub snapshot · Automated classification · Original documentation governs