Popular GitHub Repositories for Adapter

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[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

A curated list of prompt-based paper in computer vision and vision-language learning.

LLaMA-TRL: Fine-tuning LLaMA with PPO and LoRA

Summarize all open source Large Languages Models and low-cost replication methods for Chatgpt.

This is the implementation of the paper AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning (https://arxiv.org/abs/2205.12410).

ACM MM'23 (oral), SUR-adapter for pre-trained diffusion models can acquire the powerful semantic understanding and reasoning capabilities from large language models to build a high-quality textual semantic representation for text-to-image generation.

This Repository surveys the paper focusing on Prompting and Adapters for Speech Processing.

Train an adapter for any embedding model in under a minute

diffusion lora chinese tutorial，虚拟idol训练中文教程

[ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.

Use QLoRA to tune LLM in PyTorch-Lightning w/ Huggingface + MLflow

【AAAI2025】MambaPro: Multi-Modal Object Re-Identification with Mamba Aggregation and Synergistic Prompt

Awesome List of Vision Language Prompt Papers

Class for Aspect-term extraction and Aspect-based sentiment analysis with BERT and Adapters

Codes and datasets for our ICASSP2023 paper, Evaluating parameter-efficient transfer learning approaches on SURE benchmark for speech understanding

This is the official repository of the papers "Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers" and "Efficient Fine-tuning of Audio Spectrogram Transformers via Soft Mixture of Adapters".

[MICCAI 2024] VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks

? Structure-aware adapter fine-tuning PLMs, with high training speed and impressive performance (Journal of Chemical Information and Modeling 2024).

Adapter / facade for language models (OpenAI, Anthropic, Cohere, local transformers, etc)