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"

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

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

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”

[CVPR 2025] Few-shot Recognition via Stage-Wise Retrieval-Augmented Finetuning

Testing code for few-shot action recognition

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

ACDFSL for Hyperspectral Image Classification

MAML implementation in PyTorch.

The code of WACV2024 Paper: 3DG2D

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

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

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

some NLP demos that corpus are translate from English