This repository contains the source code for the paper "Grouped Pointwise Convolutions Reduce Parameters in Convolutional Neural Networks".
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Updated
Feb 21, 2024 - Jupyter Notebook
This repository contains the source code for the paper "Grouped Pointwise Convolutions Reduce Parameters in Convolutional Neural Networks".
CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing (ACL 2022)
Code for EACL'23 paper "Udapter: Efficient Domain Adaptation Using Adapters"
INTERSPEECH 23 - Refunction Whisper to recognize new tasks with adapters!
Code for the ACL 2022 paper "Continual Sequence Generation with Adaptive Compositional Modules"
[arXiv] Cross-Modal Adapter for Text-Video Retrieval
[CVPR2024] The code of "UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory"
On Transferability of Prompt Tuning for Natural Language Processing
This Repository surveys the paper focusing on Prompting and Adapters for Speech Processing.
CodeUp: A Multilingual Code Generation Llama2 Model with Parameter-Efficient Instruction-Tuning on a Single RTX 3090
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 examples and documentation.
Collection of Tools and Papers related to Adapters / Parameter-Efficient Transfer Learning/ Fine-Tuning
Research Trends in LLM-guided Multimodal Learning.
A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
Live Training for Open-source Big Models
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
A plug-and-play library for parameter-efficient-tuning (Delta Tuning)
An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks
A Unified Library for Parameter-Efficient and Modular Transfer Learning
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
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