hierarchical-domain-adaptation VS LLM-Adapters

Compare hierarchical-domain-adaptation vs LLM-Adapters 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)
Adapters Clustering domain-adaptation gaussian-mixture-models NLP pretrained-language-model Pytorch
Source Code
aclanthology.org
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LLM-Adapters

Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models" (by AGI-Edgerunners)
Adapters fine-tuning large-language-models parameter-efficient
Source Code
arxiv.org
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hierarchical-domain-adaptation LLM-Adapters
1 2
32 950
- 3.1%
3.0 7.3
8 months ago 2 months ago
Python Python
- Apache License 2.0
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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.

LLM-Adapters

Posts with mentions or reviews of LLM-Adapters. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-03.

What are some alternatives?

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

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

TencentPretrain - Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo

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!

discus - A data-centric AI package for ML/AI. Get the best high-quality data for the best results. Discord: https://discord.gg/t6ADqBKrdZ

custom-diffusion - Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)

AGIEval

adapters - A Unified Library for Parameter-Efficient and Modular Transfer Learning

LLM-Finetuning-Hub - Toolkit for fine-tuning, ablating and unit-testing open-source LLMs. [Moved to: https://github.com/georgian-io/LLM-Finetuning-Toolkit]

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

finetuner - :dart: Task-oriented embedding tuning for BERT, CLIP, etc.

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

xTuring - Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6

hierarchical-domain-adaptation vs pytorch-adapt LLM-Adapters vs TencentPretrain hierarchical-domain-adaptation vs pykale LLM-Adapters vs discus LLM-Adapters vs custom-diffusion LLM-Adapters vs AGIEval LLM-Adapters vs adapters LLM-Adapters vs LLM-Finetuning-Hub LLM-Adapters vs trankit LLM-Adapters vs finetuner LLM-Adapters vs VL_adapter LLM-Adapters vs xTuring