#自然语言处理#EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
#计算机科学#Kernel Fisher Discriminant Analysis implementation following https://arxiv.org/abs/1906.09436
Codes for "Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier"
Meta Transfer Learning for Few Shot Semantic Segmentation using U-Net
Example of one shot learning and few shot learning with omniglot dataset.
根据关键词从Openaccess网站获取文章列表，CVPR2020/WACV2020小样本论文合辑
[CVPR 2025] Few-shot Recognition via Stage-Wise Retrieval-Augmented Finetuning
Interactive Skeleton Based Few Shot Action Recognition
Testing code for few-shot action recognition
Source code of NeurIPS 2021 paper “Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media”
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models TensorFlow
ACDFSL for Hyperspectral Image Classification
MAML implementation in PyTorch.
#计算机科学#The repository hosts the code, data, and other artefacts for the paper "A deep learning-based approach for identifying unresolved questions on Stack Exchange Q&A communities through graph-based commun...
A PyTorch implementation of paper "PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation".
#自然语言处理#Scripts, algorithms and files for a rule-based and ML-based approach for binary classification of regulatory / non-regulatory sentences in EU legislative documents, as well as code for evaluating the ...
Code for Continual Few-Shot Learning for the submission to the Nagasaki Internship program
#自然语言处理#some NLP demos that corpus are translate from English
Video segmentation of a whirl beetle and the ripples it creates.