EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

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"

Example of one shot learning and few shot learning with omniglot dataset.

AdaptKeyBERT: keyword/keyphrase extraction with zero-shot and few-shot semi-supervised domain adaptation

Meta Transfer Learning for Few Shot Semantic Segmentation using U-Net

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

Source code of NeurIPS 2021 paper “Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media”

Testing code for few-shot action recognition

Few-shot Recognition via Stage-Wise Retrieval-Augmented Finetuning

Few-Shot Adversarial Learning of Realistic Neural Talking Head Models TensorFlow

MAML implementation in PyTorch.

ACDFSL for Hyperspectral Image Classification

The code of WACV2024 Paper: 3DG2D

A PyTorch implementation of paper "PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation".

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 accuracy of these approaches

Code for Continual Few-Shot Learning for the submission to the Nagasaki Internship program

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 communication modelling", available here: https://link.springer.com/article/10.1007/s41060-023-00454-0

some NLP demos that corpus are translate from English