Top 12 few-shot open source projects

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Modality-Transferable-MER, multimodal emotion recognition model with zero-shot and few-shot abilities.

The source code of "Language Models are Few-shot Multilingual Learners" (MRL @ EMNLP 2021)

Learning low-shot object classification with explicit shape bias learned from point clouds

Few-Shot-Intent-Detection includes popular challenging intent detection datasets with/without OOS queries and state-of-the-art baselines and results.

FSL-Mate: A collection of resources for few-shot learning (FSL).

CharacterGAN: Few-Shot Keypoint Character Animation and Reposing (Best Paper WACV 2022)

This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning

Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020

Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"

Implementation for <Neural Similarity Learning> in NeurIPS'19.

Official PyTorch implementation of DM-Font (ECCV 2020)