hierarchical-domain-adaptation VS VL_adapter

Compare hierarchical-domain-adaptation vs VL_adapter and see what are their differences.

hierarchical-domain-adaptation

Code of NAACL 2022 "Efficient Hierarchical Domain Adaptation for Pretrained Language Models" paper. (by alexandra-chron)

VL_adapter

PyTorch code for "VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks" (CVPR2022) (by ylsung)
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hierarchical-domain-adaptation VL_adapter
1 1
32 193
- -
3.0 0.0
8 months ago over 1 year ago
Python Python
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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hierarchical-domain-adaptation

Posts with mentions or reviews of hierarchical-domain-adaptation. We have used some of these posts to build our list of alternatives and similar projects.

VL_adapter

Posts with mentions or reviews of VL_adapter. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-07.

What are some alternatives?

When comparing hierarchical-domain-adaptation and VL_adapter you can also consider the following projects:

pytorch-adapt - Domain adaptation made easy. Fully featured, modular, and customizable.

LoRA - Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

pykale - Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!

MMD-GAN - Training MMD GANs.

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

VLDet - [ICLR 2023] PyTorch implementation of VLDet (https://arxiv.org/abs/2211.14843)

torch-adapters - Small Library of PyTorch Adaptation modules