Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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Updated
Sep 9, 2024 - Python
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
A collection of AWESOME things about domian adaptation
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
FSL-Mate: A collection of resources for few-shot learning (FSL).
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
总结Prompt&LLM论文,开源数据&模型,AIGC应用
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
Repository for few-shot learning machine learning projects
Implementations of few-shot object detection benchmarks
Efficient few-shot learning with Sentence Transformers
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
A Large-Scale Few-Shot Relation Extraction Dataset
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
Awesome Multitask Learning Resources
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
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