Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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Updated
Nov 29, 2024 - Python
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)
FSL-Mate: A collection of resources for few-shot learning (FSL).
collection of diffusion model papers categorized by their subareas
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
A unified multi-task time series model.
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.
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
Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"
[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
A PyTorch implementation of OpenAI's REPTILE algorithm
[CVPR 2023 Workshop] VAND Challenge: 1st Place on Zero-shot AD and 4th Place on Few-shot AD
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