Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

Using Few Shot Learning (FSL) for image classification on Oxford 17 Flowers dataset. Part of HKU COMP3340 Group 10 Project (2023-24 Sem2).

Automatic Categorization of Software Repository Domains with Minimal Resources

LLMs for Low Resource Languages in Multilingual, Multimodal and Dialectal Settings

Few-Shot Graph Classification via distance metric learning.

Code Release of Exploring Sample Relationship for Few-Shot Classification

Comprehensive Study of Soft Prompting as a efficient method for Model Adaptation

Code Repository for "SSL-ProtoNet: Self-supervised Learning Prototypical Networks for few-shot learning"

Code release for Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning

A demonstration repo for how to do automatic translation using local llms.

A slim implementation of Self-Pooling Transformer for hyperspectral image classification.

Mineral Prediction based on Prototype Learning

This repository contains an easy and intuitive approach to few-shot classification using sentence-transformers or spaCy models, or zero-shot classification with Huggingface.

This repository contains the source code for the IMAML-IDCG (ImageNet Model Agnostic Meta-learning for Invasive Ductal Carcinoma Grading)

Official implementation of the paper: Learn to aggregate global and local representations for few-shot learning

[ICCV 2023] Prompt-aligned Gradient for Prompt Tuning

[TIP-2023] IEEE Trans.on Image Processing

The code for "SCL: Self-supervised contrastive learning for few-shot image classification"

Supplementary Material For the Paper "NUTS, NARS, and Speech"