A Unified Library for Parameter-Efficient and Modular Transfer Learning

Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

PyTorch code for "VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks" (CVPR2022)

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

Research code for "What to Pre-Train on? Efficient Intermediate Task Selection", EMNLP 2021

Code of NAACL 2022 "Efficient Hierarchical Domain Adaptation for Pretrained Language Models" paper.

X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization, CVPR 2024

Code for EACL'23 paper "Udapter: Efficient Domain Adaptation Using Adapters"

This repositary hosts my experiments for the project, I did with OffNote Labs.

Small Library of PyTorch Adaptation modules

Systems submitted to IWSLT 2022 by the MT-UPC group.

Integration of Adapters into HuggingFace's Transformers (implemented in TensorFlow 2.0)

Master Thesis on "Comparing Modular Approaches for Parameter-Efficient Fine-Tuning"

Ready-to-run training scripts for Transformers and Adapters on >50 NLP tasks

Python samples for Reports.PYTHON report builder for Python 3.10 and higher, and embedded report designer and report viewer

OMSA-CS7643-Final

Experiments for channel-based Structured Pruning Adapters

Set of adapters for back-end e-commerce infra-structure.

Sequencing adapters and contaminants collected from different tools for easy download