Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

A PyTorch Library for Meta-learning Research

FSL-Mate: A collection of resources for few-shot learning (FSL).

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

collection of diffusion model papers categorized by their subareas

A unified multi-task time series model.

Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"

Tools for generating mini-ImageNet dataset and processing batches

PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).

FewX is an open-source toolbox on top of Detectron2 for data-limited instance-level recognition tasks.

This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning

Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

A PyTorch implementation of OpenAI's REPTILE algorithm

Official PyTorch implementation of DM-Font (ECCV 2020)

Code and dataset of AAAI2019 paper Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification

A transfer learning fault diagnosis repository covering popular algorithms