EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
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Updated
Mar 18, 2024 - Python
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
Kernel Fisher Discriminant Analysis implementation following https://arxiv.org/abs/1906.09436
Meta Transfer Learning for Few Shot Semantic Segmentation using U-Net
Example of one shot learning and few shot learning with omniglot dataset.
Testing code for few-shot action recognition
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models TensorFlow
Code for Continual Few-Shot Learning for the submission to the Nagasaki Internship program
MAML implementation in PyTorch.
根据关键词从Openaccess网站获取文章列表,CVPR2020/WACV2020小样本论文合辑
Interactive Skeleton Based Few Shot Action Recognition
some NLP demos that corpus are translate from English
Source code of NeurIPS 2021 paper “Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media”
ACDFSL for Hyperspectral Image Classification
A PyTorch implementation of paper "PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation".
Video segmentation of a whirl beetle and the ripples it creates.
Codes for "Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier"
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