#计算机科学#Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
#自然语言处理#[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
#计算机科学#FSL-Mate: A collection of resources for few-shot learning (FSL).
#计算机科学#Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
#时序数据库#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
#计算机科学#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
#自然语言处理#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.
PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).
This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning
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