examples/stable-diffusion-finetuning at main · LambdaLabsML/examples vs oumi-ai/oumi

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

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

LightlyTrain supports pretraining, fine-tuning, and distillation for computer vision models.

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

autoai automates regression and classification modeling in Python through model search and hyperparameter tuning.

Octo provides a transformer-based policy for robots, with code to train and fine-tune it.