Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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Updated
May 29, 2024 - Python
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
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)
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
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)
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
[ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723
OpenMMLab FewShot Learning Toolbox and Benchmark
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
Measuring Massive Multitask Language Understanding | ICLR 2021
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