Awesome GitHub RepositoriesParameter-Efficient Fine-Tuning Techniques

Methods for adapting large machine learning models by updating only a small subset of parameters or using low-rank adaptations.

Distinguishing note: This category focuses specifically on memory-efficient training strategies for large models, distinct from general model training or architecture design.

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