parameter-efficient-learning topic

List parameter-efficient-learning repositories

P-tuning

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A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

adapters

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A Unified Library for Parameter-Efficient and Modular Transfer Learning

P-tuning-v2

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An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

OpenDelta

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A plug-and-play library for parameter-efficient-tuning (Delta Tuning)

k-neural-api

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K-CAI NEURAL API - Keras based neural network API that will allow you to create parameter-efficient, memory-efficient, flops-efficient multipath models with new layer types. There are plenty of exampl...

Adaptive-Compositional-Modules

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Code for the ACL 2022 paper "Continual Sequence Generation with Adaptive Compositional Modules"

peft

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🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.

awesome-adapter-resources

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Collection of Tools and Papers related to Adapters / Parameter-Efficient Transfer Learning/ Fine-Tuning