Accelerate vs oumi-ai/oumi

Enables single machine or distributed training and evaluation of deep learning models.

PEFT provides parameter-efficient fine-tuning methods for adapting pretrained machine learning models.

PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.

FEDOT automates machine learning model development through its modeling framework.

P-tuning v2 is a deep prompt tuning strategy designed as an alternative to full model fine-tuning.

Detecto supports building and training computer vision models with the PyTorch machine learning framework.