Few-Shot Learning ML Frameworks

Frameworks, benchmarks, and implementations for few-shot and meta-learning approaches that enable models to learn from limited examples. Does NOT include zero-shot methods, general transfer learning, or domain-specific applications like NER or image classification without the meta-learning focus.

There are 53 few-shot learning frameworks tracked. 4 score above 50 (established tier). The highest-rated is oscarknagg/few-shot at 51/100 with 1,280 stars.

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#	Framework	Score	Tier	Stars	Language
1	oscarknagg/few-shot Repository for few-shot learning machine learning projects	51	Established	1,280	Python
2	jakesnell/prototypical-networks Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"	51	Established	1,220	Python
3	harveyslash/Facial-Similarity-with-Siamese-Networks-in-Pytorch Implementing Siamese networks with a contrastive loss for similarity learning	51	Established	990	Jupyter Notebook
4	google-research/meta-dataset A dataset of datasets for learning to learn from few examples	50	Established	799	Jupyter Notebook
5	akshaysharma096/Siamese-Networks Few Shot Learning by Siamese Networks, using Keras.	49	Emerging	194	Jupyter Notebook
6	Sha-Lab/FEAT The code repository for "Few-Shot Learning via Embedding Adaptation with...	49	Emerging	434	Python
7	yinboc/few-shot-meta-baseline Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021	48	Emerging	653	Python
8	sicara/easy-few-shot-learning Ready-to-use code and tutorial notebooks to boost your way into few-shot...	48	Emerging	1,300	Python
9	zhmiao/OpenLongTailRecognition-OLTR Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open...	48	Emerging	869	Python
10	yinboc/prototypical-network-pytorch A re-implementation of "Prototypical Networks for Few-shot Learning"	47	Emerging	328	Python
11	tata1661/FSL-Mate FSL-Mate: A collection of resources for few-shot learning (FSL).	43	Emerging	1,768	Python
12	ybendou/easy This repository is the official implementation Ensemble Augmented-Shot...	43	Emerging	118	Python
13	dahyun-kang/renet [ICCV'21] Official PyTorch implementation of Relational Embedding for...	42	Emerging	122	Python
14	dahyun-kang/ifsl [CVPR'22] Official PyTorch implementation of Integrative Few-Shot Learning...	42	Emerging	133	Python
15	plai-group/simple-cnaps Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020),...	42	Emerging	59	Python
16	floodsung/Meta-Learning-Papers Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning	42	Emerging	2,657	—
17	nayeemrizve/invariance-equivariance "Exploring Complementary Strengths of Invariant and Equivariant...	40	Emerging	38	Python
18	Frankluox/LightningFSL LightningFSL: Pytorch-Lightning implementations of Few-Shot Learning models.	40	Emerging	114	Python
19	abdulfatir/prototypical-networks-tensorflow Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for...	39	Emerging	132	Jupyter Notebook
20	robot-learning-freiburg/TAPAS PyTorch code for TAPAS-GMM.	37	Emerging	15	Jupyter Notebook
21	GitGyun/visual_token_matching [ICLR'23 Oral] Universal Few-shot Learning of Dense Prediction Tasks with...	37	Emerging	255	Python
22	AIVResearch/MSANet Official Pytorch implementation of Multi-Similarity and Attention Guidence...	36	Emerging	68	Python
23	victor-iyi/few-shot-learning One-shot Learning: Learning from fewer dataset with a single or few training...	35	Emerging	9	Jupyter Notebook
24	dbaranchuk/memory-efficient-maml Memory efficient MAML using gradient checkpointing	35	Emerging	86	Jupyter Notebook
25	sung-yeon-kim/HIER-CVPR23 Official PyTorch Implementation of HIER: Metric Learning Beyond Class Labels...	35	Emerging	66	Python
26	baiksung/MeTAL Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss...	34	Emerging	66	Python
27	yassouali/SCL :page_facing_up: Spatial Contrastive Learning for Few-Shot Classification...	34	Emerging	50	Python
28	victor-nasc/SimpleFewShot A Python Library for Few-Shot Learning Models	33	Emerging	4	Python
29	ilia10000/LO-Shot Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning	32	Emerging	87	Jupyter Notebook
30	wutong8023/Awesome_Few_Shot_Learning Advances of few-shot learning, especially for NLP applications.	30	Emerging	32	TeX
31	CHeggan/MetaAudio-A-Few-Shot-Audio-Classification-Benchmark A new comprehensive and diverse few-shot acoustic classification benchmark.	30	Emerging	65	Python
32	townim-faisal/FSCIL-3D [ECCV 2022] Few-shot class incremental learning on 3D point clouid objects	30	Emerging	32	Python
33	yumeng5/FewGen [ICML 2023] Tuning Language Models as Training Data Generators for...	29	Experimental	44	Python
34	leesb7426/CVPR2022-Task-Discrepancy-Maximization-for-Fine-grained-Few-Shot-Classification Official PyTorch Repository of "Task Discrepancy Maximization for...	29	Experimental	49	Python
35	horsepurve/DeepVoro Few-shot Learning as Cluster-induced Voronoi Diagrams (ICLR 2022)	29	Experimental	9	Jupyter Notebook
36	ya0002/Colab-Siamese_Neural_Nets_for_One-shot_Image_Recognition A ready to go implementation of the "Siamese Neural Networks for One-shot...	28	Experimental	9	Jupyter Notebook
37	ybendou/ProKeR [CVPR 2025] This repository is the official implementation of "ProKeR: A...	26	Experimental	21	Python
38	edi-meta-learning/meta-omnium Implementation of "Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn"	25	Experimental	25	Python
39	alon-albalak/FLAD Few-shot Learning with Auxiliary Data	24	Experimental	31	Python
40	Ther-nullptr/Awesome-Transformer-Accleration Paper list for accleration of transformers	23	Experimental	14	—
41	pinnouse/zeroshot-unsupervised-mt An attempt at creating a zeroshot capable machine translator that has never...	22	Experimental	1	Jupyter Notebook
42	Decadz/Meta-Learning-Literature-Overview List of AI/ML papers related to my thesis on "Meta-Learning Loss Functions...	22	Experimental	5	—
43	fabian57fabian/prototypical-networks-few-shot-learning Pytorch implementation of prototypical networks in few shot learning	22	Experimental	16	Python
44	barzansaeedpour/few-shot-learning-using-just-5-images In this repository, we leverage the power of few-shot learning combined with...	21	Experimental	11	Jupyter Notebook
45	IcedWatermelonJuice/FS-SEI Few-Shot Specific Emitter Identification (FS-SEI) Method	20	Experimental	23	Python
46	abdulvahapmutlu/vit-protonet A lightweight PyTorch implementation of Prototypical Networks using a...	19	Experimental	2	Jupyter Notebook
47	barzansaeedpour/interactive-eager-few-shot-od-training-colab Fine tuning of RetinaNet architecture on very few examples of a novel class...	19	Experimental	4	Jupyter Notebook
48	KameniAlexNea/zero-shot-classification gliznet: generalized ligthweight zero shot classification network	18	Experimental	5	Python
49	ajkeith/StrategyDocumentAnalysis Zero-shot text classification of national AI and defense strategies	17	Experimental	1	Python
50	rehg-lab/lowshot-shapebias Learning low-shot object classification with explicit shape bias learned...	16	Experimental	55	Python
51	measterpojo/Meta-Learning-MAML-PACS-Dataset A CNN-based MAML retains the standard principles of Model-Agnostic...	13	Experimental	—	Jupyter Notebook
52	kris701/P8 A novel Feature Extractor for Few Shot Learning to Improve Accuracy and...	13	Experimental	2	C++
53	moradna/Siamese-Neural-Networks-for-One-shot-Image-Recognition Implemented a one-shot classification solution using Siamese Neural Networks...	11	Experimental	3	Jupyter Notebook

Comparisons in this category

few-shot and easy-few-shot-learning (51 vs 48) few-shot and few-shot-meta-baseline (51 vs 48) prototypical-networks and prototypical-network-pytorch (51 vs 47) few-shot and LightningFSL (51 vs 40) prototypical-networks and prototypical-networks-tensorflow (51 vs 39) prototypical-network-pytorch and prototypical-networks-tensorflow (47 vs 39)