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 51 few-shot learning frameworks tracked. The highest-rated is jakesnell/prototypical-networks at 44/100 with 1,220 stars.

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

Comparisons in this category

prototypical-networks and prototypical-network-pytorch (44 vs 40) prototypical-networks and prototypical-networks-tensorflow (44 vs 32) prototypical-network-pytorch and prototypical-networks-tensorflow (40 vs 32)