0 "few-shot-learning" Awesome Lists
Awesome-Prompt-Engineering
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
chatgpt chatgpt-api deep-learning few-shot-learning gpt gpt-3 machine-learning openai prompt prompt-based-learning
6,296 stars
758 forks
461 projects
Last updated: 28 Aug 2026
awesome-domain-adaptation
A collection of AWESOME things about domain adaptation
adversarial-learning awesome-list domain-adaptation few-shot-learning image-translation optimal-transport paper transfer-learning zero-shot-learning
5,455 stars
881 forks
807 projects
Last updated: 03 Sep 2026
Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
deep-meta-learning few-shot-learning meta-reinforcement metalearning one-shot-learning zero-shot-learning
1,554 stars
296 forks
95 projects
Last updated: 20 Aug 2026
Awesome-LLM4IE-Papers
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
cross-domain-learning data-augmentation event-arguments event-detection event-extraction few-shot-learning in-context-learning information-extraction knowledge-graph-construction large-language-models
1,058 stars
61 forks
438 projects
Last updated: 14 Aug 2026
Awesome_Prompting_Papers_in_Computer_Vision
A curated list of prompt-based paper in computer vision and vision-language learning.
adapter few-shot-learning parameter-efficient-tuning prompt-learning prompt-tuning visual-prompt zero-shot-learning
928 stars
67 forks
172 projects
Last updated: 29 Jul 2026
Awesome-Prompt-Adapter-Learning-for-VLMs-CLIP
A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.
adapter-learning few-shot-classifcation few-shot-learning paper-list prompt-learning vision-language-model zero-shot-learning
778 stars
40 forks
202 projects
Last updated: 29 May 2026
Awesome-Model-Merging-Methods-Theories-Applications
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.
attack-defense continual-learning diffusion-models ensemble-learning federated-learning few-shot-learning foundation-models generalization generative-model knowledge-fusion
775 stars
46 forks
915 projects
Last updated: 16 Aug 2026
Awesome-Few-Shot-Image-Generation
A curated list of papers, code and resources pertaining to few-shot image generation.
data-augmentation few-shot-generation few-shot-image-generation few-shot-learning
366 stars
44 forks
42 projects
Last updated: 29 Jul 2026
awesome-foundation-models-on-graphs
A collection of graph foundation models including papers, codes, and datasets.
data-augmentation deep-learning few-shot-learning foundation-models graph-classification graph-foundation-model graph-neural-networks graph-representation-learning knowlege-graph link-prediction
223 stars
16 forks
242 projects
Last updated: 18 Aug 2026
awesome-few-shot-gnn
An index of algorithms for few-shot learning/meta-learning on graphs
few-shot-learning graph-neural-networks meta-learning
160 stars
18 forks
58 projects
Last updated: 10 Jul 2026
awesome-few-shot-meta-learning
awesome few shot / meta learning papers
conference-paper deep-learning few-shot-learning meta-learning metric-learning one-shot-learning
52 stars
5 forks
98 projects
Last updated: 08 Jul 2026
Awesome_Few_Shot_Learning
Advances of few-shot learning, especially for NLP applications.
awesome-list few-shot-learning machine-learning natural-language-processing
31 stars
7 forks
338 projects
Last updated: 08 Jul 2026
prompt-tools-live
Live-updating tracker of prompt engineering tools, libraries, and techniques — refreshed every 15 mi
ai-development ai-prompts ai-tools auto-updated awesome-list awesome-prompts few-shot-learning generative-ai live-data llm-engineering
10 stars
3 forks
62 projects
Last updated: 01 Sep 2026