#计算机科学#Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
翻译 - Everything about Transfer Learning and Domain Adaptation--迁移学习
#Awesome#A collection of AWESOME things about domian adaptation
#大语言模型#This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
#计算机科学#Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
#自然语言处理#Efficient few-shot learning with Sentence Transformers
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
#计算机科学#FSL-Mate: A collection of resources for few-shot learning (FSL).
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
🎯 Task-oriented embedding tuning for BERT, CLIP, etc.
翻译 - 微调任何 DNN 以更好地嵌入神经搜索任务
Measuring Massive Multitask Language Understanding | ICLR 2021
#计算机科学#Repository for few-shot learning machine learning projects
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
#计算机科学#Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
#计算机科学#[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
翻译 - MedMNIST分类十项全能：医学图像分析的轻量级AutoML基准
Implementations of few-shot object detection benchmarks
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
#Awesome#Collection for Few-shot Learning
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
翻译 - LibFewShot：用于少量学习的综合库。
#自然语言处理#A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.