parameter-efficient-learning topic
P-tuning
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
adapters
A Unified Library for Parameter-Efficient and Modular Transfer Learning
P-tuning-v2
An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks
OpenDelta
A plug-and-play library for parameter-efficient-tuning (Delta Tuning)
k-neural-api
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...
CPM-Live
Live Training for Open-source Big Models
Adaptive-Compositional-Modules
Code for the ACL 2022 paper "Continual Sequence Generation with Adaptive Compositional Modules"
peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Awesome-Parameter-Efficient-Transfer-Learning
A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
awesome-adapter-resources
Collection of Tools and Papers related to Adapters / Parameter-Efficient Transfer Learning/ Fine-Tuning