few-shot

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

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

collection of diffusion model papers categorized by their subareas

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

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

A unified multi-task time series model.

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

Tools for generating mini-ImageNet dataset and processing batches

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

BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training

Zero and Few shot named entity & relationships recognition

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

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

A transfer learning fault diagnosis repository covering popular algorithms

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

[CVPR 2023 Workshop] VAND Challenge: 1st Place on Zero-shot AD and 4th Place on Few-shot AD

[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data